A novel legitimacy preserving data hiding scheme based on LAS compressed code of VQ index tables
Abstract Data hiding is a technique for secret and secure data storing and transmission that embeds data into a media such as an image, audio, video and so on, with minimal quality degradation of the media. Some developed data hiding schemes are reversible. Reversibility property allows the media to...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Rahmani, Peyman [verfasserIn] |
|---|
| Format: |
Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2015 |
|---|
| Schlagwörter: |
|---|
| Anmerkung: |
© Springer Science+Business Media New York 2014 |
|---|
| Übergeordnetes Werk: |
Enthalten in: Multidimensional systems and signal processing - Springer US, 1990, 27(2015), 2 vom: 01. Jan., Seite 433-452 |
|---|---|
| Übergeordnetes Werk: |
volume:27 ; year:2015 ; number:2 ; day:01 ; month:01 ; pages:433-452 |
| Links: |
|---|
| DOI / URN: |
10.1007/s11045-014-0309-0 |
|---|
| Katalog-ID: |
OLC2048107672 |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | OLC2048107672 | ||
| 003 | DE-627 | ||
| 005 | 20230503194555.0 | ||
| 007 | tu | ||
| 008 | 200819s2015 xx ||||| 00| ||eng c | ||
| 024 | 7 | |a 10.1007/s11045-014-0309-0 |2 doi | |
| 035 | |a (DE-627)OLC2048107672 | ||
| 035 | |a (DE-He213)s11045-014-0309-0-p | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 082 | 0 | 4 | |a 510 |q VZ |
| 100 | 1 | |a Rahmani, Peyman |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a A novel legitimacy preserving data hiding scheme based on LAS compressed code of VQ index tables |
| 264 | 1 | |c 2015 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ohne Hilfsmittel zu benutzen |b n |2 rdamedia | ||
| 338 | |a Band |b nc |2 rdacarrier | ||
| 500 | |a © Springer Science+Business Media New York 2014 | ||
| 520 | |a Abstract Data hiding is a technique for secret and secure data storing and transmission that embeds data into a media such as an image, audio, video and so on, with minimal quality degradation of the media. Some developed data hiding schemes are reversible. Reversibility property allows the media to be recovered completely after extraction of the embedded data. Vector Quantization (VQ)-based image data hiding is one of the most popular study areas in the literature. However, most VQ-based reversible data hiding schemes generate non-legitimate codes as output. In other words output codes generated by such schemes could not be decoded by the conventional VQ or VQ based decoders and may arouse the attention of interceptors. On the other hand, the existing VQ based reversible data hiding schemes that generate legitimate VQ codes as output, suffer from low capacity and poor quality of stego-image. In this paper a novel reversible data hiding scheme for VQ-compressed images based on locally adaptive data compression scheme (LAS) is proposed. Unlike other schemes, the proposed scheme doesn’t change the VQ indices; data is embedded by choosing one of the possible ways to encode each index. As a result, in comparison with the schemes that embed data by index replacement, in the proposed scheme no extra distortion is made by data embedding and the outputted codes are compatible with the conventional LAS decoder. These properties help to hide the existence of secret data and make the scheme suitable for steganography. Moreover, a framework to combine the proposed scheme with some other schemes to improve their capacity and embedding side information is proposed. Since LAS is a general data compression scheme, the proposed scheme could be used to embed data into any data formats. All existing LAS based data hiding schemes produce non-legitimate codes as their outputs and the proposed scheme is the first and only one that produces legitimate codes as output. Experimental results show that the proposed scheme outperforms the existing LAS based schemes and some other VQ based data hiding schemes. On average, the proposed scheme embeds 2.14 bits per index with almost the same bit-rate as the bit-rate of the VQ index table. | ||
| 650 | 4 | |a Image compression | |
| 650 | 4 | |a Vector quantization | |
| 650 | 4 | |a Locally adaptive data compression scheme | |
| 650 | 4 | |a Hilbert curve | |
| 650 | 4 | |a Data embedding | |
| 650 | 4 | |a Reversible data hiding | |
| 700 | 1 | |a Norouzzadeh, Mohammad Sadegh |4 aut | |
| 700 | 1 | |a Dastghaibyfard, Gholamhossein |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Multidimensional systems and signal processing |d Springer US, 1990 |g 27(2015), 2 vom: 01. Jan., Seite 433-452 |w (DE-627)130892076 |w (DE-600)1041098-3 |w (DE-576)038686074 |x 0923-6082 |7 nnns |
| 773 | 1 | 8 | |g volume:27 |g year:2015 |g number:2 |g day:01 |g month:01 |g pages:433-452 |
| 856 | 4 | 1 | |u https://doi.org/10.1007/s11045-014-0309-0 |z lizenzpflichtig |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a SYSFLAG_A | ||
| 912 | |a GBV_OLC | ||
| 912 | |a SSG-OLC-MAT | ||
| 912 | |a SSG-OPC-MAT | ||
| 912 | |a GBV_ILN_70 | ||
| 951 | |a AR | ||
| 952 | |d 27 |j 2015 |e 2 |b 01 |c 01 |h 433-452 | ||
| author_variant |
p r pr m s n ms msn g d gd |
|---|---|
| matchkey_str |
article:09236082:2015----::nvleiiayrsrigaaiigceeaeolsopes |
| hierarchy_sort_str |
2015 |
| publishDate |
2015 |
| allfields |
10.1007/s11045-014-0309-0 doi (DE-627)OLC2048107672 (DE-He213)s11045-014-0309-0-p DE-627 ger DE-627 rakwb eng 510 VZ Rahmani, Peyman verfasserin aut A novel legitimacy preserving data hiding scheme based on LAS compressed code of VQ index tables 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media New York 2014 Abstract Data hiding is a technique for secret and secure data storing and transmission that embeds data into a media such as an image, audio, video and so on, with minimal quality degradation of the media. Some developed data hiding schemes are reversible. Reversibility property allows the media to be recovered completely after extraction of the embedded data. Vector Quantization (VQ)-based image data hiding is one of the most popular study areas in the literature. However, most VQ-based reversible data hiding schemes generate non-legitimate codes as output. In other words output codes generated by such schemes could not be decoded by the conventional VQ or VQ based decoders and may arouse the attention of interceptors. On the other hand, the existing VQ based reversible data hiding schemes that generate legitimate VQ codes as output, suffer from low capacity and poor quality of stego-image. In this paper a novel reversible data hiding scheme for VQ-compressed images based on locally adaptive data compression scheme (LAS) is proposed. Unlike other schemes, the proposed scheme doesn’t change the VQ indices; data is embedded by choosing one of the possible ways to encode each index. As a result, in comparison with the schemes that embed data by index replacement, in the proposed scheme no extra distortion is made by data embedding and the outputted codes are compatible with the conventional LAS decoder. These properties help to hide the existence of secret data and make the scheme suitable for steganography. Moreover, a framework to combine the proposed scheme with some other schemes to improve their capacity and embedding side information is proposed. Since LAS is a general data compression scheme, the proposed scheme could be used to embed data into any data formats. All existing LAS based data hiding schemes produce non-legitimate codes as their outputs and the proposed scheme is the first and only one that produces legitimate codes as output. Experimental results show that the proposed scheme outperforms the existing LAS based schemes and some other VQ based data hiding schemes. On average, the proposed scheme embeds 2.14 bits per index with almost the same bit-rate as the bit-rate of the VQ index table. Image compression Vector quantization Locally adaptive data compression scheme Hilbert curve Data embedding Reversible data hiding Norouzzadeh, Mohammad Sadegh aut Dastghaibyfard, Gholamhossein aut Enthalten in Multidimensional systems and signal processing Springer US, 1990 27(2015), 2 vom: 01. Jan., Seite 433-452 (DE-627)130892076 (DE-600)1041098-3 (DE-576)038686074 0923-6082 nnns volume:27 year:2015 number:2 day:01 month:01 pages:433-452 https://doi.org/10.1007/s11045-014-0309-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OPC-MAT GBV_ILN_70 AR 27 2015 2 01 01 433-452 |
| spelling |
10.1007/s11045-014-0309-0 doi (DE-627)OLC2048107672 (DE-He213)s11045-014-0309-0-p DE-627 ger DE-627 rakwb eng 510 VZ Rahmani, Peyman verfasserin aut A novel legitimacy preserving data hiding scheme based on LAS compressed code of VQ index tables 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media New York 2014 Abstract Data hiding is a technique for secret and secure data storing and transmission that embeds data into a media such as an image, audio, video and so on, with minimal quality degradation of the media. Some developed data hiding schemes are reversible. Reversibility property allows the media to be recovered completely after extraction of the embedded data. Vector Quantization (VQ)-based image data hiding is one of the most popular study areas in the literature. However, most VQ-based reversible data hiding schemes generate non-legitimate codes as output. In other words output codes generated by such schemes could not be decoded by the conventional VQ or VQ based decoders and may arouse the attention of interceptors. On the other hand, the existing VQ based reversible data hiding schemes that generate legitimate VQ codes as output, suffer from low capacity and poor quality of stego-image. In this paper a novel reversible data hiding scheme for VQ-compressed images based on locally adaptive data compression scheme (LAS) is proposed. Unlike other schemes, the proposed scheme doesn’t change the VQ indices; data is embedded by choosing one of the possible ways to encode each index. As a result, in comparison with the schemes that embed data by index replacement, in the proposed scheme no extra distortion is made by data embedding and the outputted codes are compatible with the conventional LAS decoder. These properties help to hide the existence of secret data and make the scheme suitable for steganography. Moreover, a framework to combine the proposed scheme with some other schemes to improve their capacity and embedding side information is proposed. Since LAS is a general data compression scheme, the proposed scheme could be used to embed data into any data formats. All existing LAS based data hiding schemes produce non-legitimate codes as their outputs and the proposed scheme is the first and only one that produces legitimate codes as output. Experimental results show that the proposed scheme outperforms the existing LAS based schemes and some other VQ based data hiding schemes. On average, the proposed scheme embeds 2.14 bits per index with almost the same bit-rate as the bit-rate of the VQ index table. Image compression Vector quantization Locally adaptive data compression scheme Hilbert curve Data embedding Reversible data hiding Norouzzadeh, Mohammad Sadegh aut Dastghaibyfard, Gholamhossein aut Enthalten in Multidimensional systems and signal processing Springer US, 1990 27(2015), 2 vom: 01. Jan., Seite 433-452 (DE-627)130892076 (DE-600)1041098-3 (DE-576)038686074 0923-6082 nnns volume:27 year:2015 number:2 day:01 month:01 pages:433-452 https://doi.org/10.1007/s11045-014-0309-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OPC-MAT GBV_ILN_70 AR 27 2015 2 01 01 433-452 |
| allfields_unstemmed |
10.1007/s11045-014-0309-0 doi (DE-627)OLC2048107672 (DE-He213)s11045-014-0309-0-p DE-627 ger DE-627 rakwb eng 510 VZ Rahmani, Peyman verfasserin aut A novel legitimacy preserving data hiding scheme based on LAS compressed code of VQ index tables 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media New York 2014 Abstract Data hiding is a technique for secret and secure data storing and transmission that embeds data into a media such as an image, audio, video and so on, with minimal quality degradation of the media. Some developed data hiding schemes are reversible. Reversibility property allows the media to be recovered completely after extraction of the embedded data. Vector Quantization (VQ)-based image data hiding is one of the most popular study areas in the literature. However, most VQ-based reversible data hiding schemes generate non-legitimate codes as output. In other words output codes generated by such schemes could not be decoded by the conventional VQ or VQ based decoders and may arouse the attention of interceptors. On the other hand, the existing VQ based reversible data hiding schemes that generate legitimate VQ codes as output, suffer from low capacity and poor quality of stego-image. In this paper a novel reversible data hiding scheme for VQ-compressed images based on locally adaptive data compression scheme (LAS) is proposed. Unlike other schemes, the proposed scheme doesn’t change the VQ indices; data is embedded by choosing one of the possible ways to encode each index. As a result, in comparison with the schemes that embed data by index replacement, in the proposed scheme no extra distortion is made by data embedding and the outputted codes are compatible with the conventional LAS decoder. These properties help to hide the existence of secret data and make the scheme suitable for steganography. Moreover, a framework to combine the proposed scheme with some other schemes to improve their capacity and embedding side information is proposed. Since LAS is a general data compression scheme, the proposed scheme could be used to embed data into any data formats. All existing LAS based data hiding schemes produce non-legitimate codes as their outputs and the proposed scheme is the first and only one that produces legitimate codes as output. Experimental results show that the proposed scheme outperforms the existing LAS based schemes and some other VQ based data hiding schemes. On average, the proposed scheme embeds 2.14 bits per index with almost the same bit-rate as the bit-rate of the VQ index table. Image compression Vector quantization Locally adaptive data compression scheme Hilbert curve Data embedding Reversible data hiding Norouzzadeh, Mohammad Sadegh aut Dastghaibyfard, Gholamhossein aut Enthalten in Multidimensional systems and signal processing Springer US, 1990 27(2015), 2 vom: 01. Jan., Seite 433-452 (DE-627)130892076 (DE-600)1041098-3 (DE-576)038686074 0923-6082 nnns volume:27 year:2015 number:2 day:01 month:01 pages:433-452 https://doi.org/10.1007/s11045-014-0309-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OPC-MAT GBV_ILN_70 AR 27 2015 2 01 01 433-452 |
| allfieldsGer |
10.1007/s11045-014-0309-0 doi (DE-627)OLC2048107672 (DE-He213)s11045-014-0309-0-p DE-627 ger DE-627 rakwb eng 510 VZ Rahmani, Peyman verfasserin aut A novel legitimacy preserving data hiding scheme based on LAS compressed code of VQ index tables 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media New York 2014 Abstract Data hiding is a technique for secret and secure data storing and transmission that embeds data into a media such as an image, audio, video and so on, with minimal quality degradation of the media. Some developed data hiding schemes are reversible. Reversibility property allows the media to be recovered completely after extraction of the embedded data. Vector Quantization (VQ)-based image data hiding is one of the most popular study areas in the literature. However, most VQ-based reversible data hiding schemes generate non-legitimate codes as output. In other words output codes generated by such schemes could not be decoded by the conventional VQ or VQ based decoders and may arouse the attention of interceptors. On the other hand, the existing VQ based reversible data hiding schemes that generate legitimate VQ codes as output, suffer from low capacity and poor quality of stego-image. In this paper a novel reversible data hiding scheme for VQ-compressed images based on locally adaptive data compression scheme (LAS) is proposed. Unlike other schemes, the proposed scheme doesn’t change the VQ indices; data is embedded by choosing one of the possible ways to encode each index. As a result, in comparison with the schemes that embed data by index replacement, in the proposed scheme no extra distortion is made by data embedding and the outputted codes are compatible with the conventional LAS decoder. These properties help to hide the existence of secret data and make the scheme suitable for steganography. Moreover, a framework to combine the proposed scheme with some other schemes to improve their capacity and embedding side information is proposed. Since LAS is a general data compression scheme, the proposed scheme could be used to embed data into any data formats. All existing LAS based data hiding schemes produce non-legitimate codes as their outputs and the proposed scheme is the first and only one that produces legitimate codes as output. Experimental results show that the proposed scheme outperforms the existing LAS based schemes and some other VQ based data hiding schemes. On average, the proposed scheme embeds 2.14 bits per index with almost the same bit-rate as the bit-rate of the VQ index table. Image compression Vector quantization Locally adaptive data compression scheme Hilbert curve Data embedding Reversible data hiding Norouzzadeh, Mohammad Sadegh aut Dastghaibyfard, Gholamhossein aut Enthalten in Multidimensional systems and signal processing Springer US, 1990 27(2015), 2 vom: 01. Jan., Seite 433-452 (DE-627)130892076 (DE-600)1041098-3 (DE-576)038686074 0923-6082 nnns volume:27 year:2015 number:2 day:01 month:01 pages:433-452 https://doi.org/10.1007/s11045-014-0309-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OPC-MAT GBV_ILN_70 AR 27 2015 2 01 01 433-452 |
| allfieldsSound |
10.1007/s11045-014-0309-0 doi (DE-627)OLC2048107672 (DE-He213)s11045-014-0309-0-p DE-627 ger DE-627 rakwb eng 510 VZ Rahmani, Peyman verfasserin aut A novel legitimacy preserving data hiding scheme based on LAS compressed code of VQ index tables 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media New York 2014 Abstract Data hiding is a technique for secret and secure data storing and transmission that embeds data into a media such as an image, audio, video and so on, with minimal quality degradation of the media. Some developed data hiding schemes are reversible. Reversibility property allows the media to be recovered completely after extraction of the embedded data. Vector Quantization (VQ)-based image data hiding is one of the most popular study areas in the literature. However, most VQ-based reversible data hiding schemes generate non-legitimate codes as output. In other words output codes generated by such schemes could not be decoded by the conventional VQ or VQ based decoders and may arouse the attention of interceptors. On the other hand, the existing VQ based reversible data hiding schemes that generate legitimate VQ codes as output, suffer from low capacity and poor quality of stego-image. In this paper a novel reversible data hiding scheme for VQ-compressed images based on locally adaptive data compression scheme (LAS) is proposed. Unlike other schemes, the proposed scheme doesn’t change the VQ indices; data is embedded by choosing one of the possible ways to encode each index. As a result, in comparison with the schemes that embed data by index replacement, in the proposed scheme no extra distortion is made by data embedding and the outputted codes are compatible with the conventional LAS decoder. These properties help to hide the existence of secret data and make the scheme suitable for steganography. Moreover, a framework to combine the proposed scheme with some other schemes to improve their capacity and embedding side information is proposed. Since LAS is a general data compression scheme, the proposed scheme could be used to embed data into any data formats. All existing LAS based data hiding schemes produce non-legitimate codes as their outputs and the proposed scheme is the first and only one that produces legitimate codes as output. Experimental results show that the proposed scheme outperforms the existing LAS based schemes and some other VQ based data hiding schemes. On average, the proposed scheme embeds 2.14 bits per index with almost the same bit-rate as the bit-rate of the VQ index table. Image compression Vector quantization Locally adaptive data compression scheme Hilbert curve Data embedding Reversible data hiding Norouzzadeh, Mohammad Sadegh aut Dastghaibyfard, Gholamhossein aut Enthalten in Multidimensional systems and signal processing Springer US, 1990 27(2015), 2 vom: 01. Jan., Seite 433-452 (DE-627)130892076 (DE-600)1041098-3 (DE-576)038686074 0923-6082 nnns volume:27 year:2015 number:2 day:01 month:01 pages:433-452 https://doi.org/10.1007/s11045-014-0309-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OPC-MAT GBV_ILN_70 AR 27 2015 2 01 01 433-452 |
| language |
English |
| source |
Enthalten in Multidimensional systems and signal processing 27(2015), 2 vom: 01. Jan., Seite 433-452 volume:27 year:2015 number:2 day:01 month:01 pages:433-452 |
| sourceStr |
Enthalten in Multidimensional systems and signal processing 27(2015), 2 vom: 01. Jan., Seite 433-452 volume:27 year:2015 number:2 day:01 month:01 pages:433-452 |
| format_phy_str_mv |
Article |
| institution |
findex.gbv.de |
| topic_facet |
Image compression Vector quantization Locally adaptive data compression scheme Hilbert curve Data embedding Reversible data hiding |
| dewey-raw |
510 |
| isfreeaccess_bool |
false |
| container_title |
Multidimensional systems and signal processing |
| authorswithroles_txt_mv |
Rahmani, Peyman @@aut@@ Norouzzadeh, Mohammad Sadegh @@aut@@ Dastghaibyfard, Gholamhossein @@aut@@ |
| publishDateDaySort_date |
2015-01-01T00:00:00Z |
| hierarchy_top_id |
130892076 |
| dewey-sort |
3510 |
| id |
OLC2048107672 |
| language_de |
englisch |
| fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">OLC2048107672</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230503194555.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">200819s2015 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s11045-014-0309-0</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC2048107672</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-He213)s11045-014-0309-0-p</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">510</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Rahmani, Peyman</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">A novel legitimacy preserving data hiding scheme based on LAS compressed code of VQ index tables</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2015</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Springer Science+Business Media New York 2014</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Data hiding is a technique for secret and secure data storing and transmission that embeds data into a media such as an image, audio, video and so on, with minimal quality degradation of the media. Some developed data hiding schemes are reversible. Reversibility property allows the media to be recovered completely after extraction of the embedded data. Vector Quantization (VQ)-based image data hiding is one of the most popular study areas in the literature. However, most VQ-based reversible data hiding schemes generate non-legitimate codes as output. In other words output codes generated by such schemes could not be decoded by the conventional VQ or VQ based decoders and may arouse the attention of interceptors. On the other hand, the existing VQ based reversible data hiding schemes that generate legitimate VQ codes as output, suffer from low capacity and poor quality of stego-image. In this paper a novel reversible data hiding scheme for VQ-compressed images based on locally adaptive data compression scheme (LAS) is proposed. Unlike other schemes, the proposed scheme doesn’t change the VQ indices; data is embedded by choosing one of the possible ways to encode each index. As a result, in comparison with the schemes that embed data by index replacement, in the proposed scheme no extra distortion is made by data embedding and the outputted codes are compatible with the conventional LAS decoder. These properties help to hide the existence of secret data and make the scheme suitable for steganography. Moreover, a framework to combine the proposed scheme with some other schemes to improve their capacity and embedding side information is proposed. Since LAS is a general data compression scheme, the proposed scheme could be used to embed data into any data formats. All existing LAS based data hiding schemes produce non-legitimate codes as their outputs and the proposed scheme is the first and only one that produces legitimate codes as output. Experimental results show that the proposed scheme outperforms the existing LAS based schemes and some other VQ based data hiding schemes. On average, the proposed scheme embeds 2.14 bits per index with almost the same bit-rate as the bit-rate of the VQ index table.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Image compression</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Vector quantization</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Locally adaptive data compression scheme</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Hilbert curve</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Data embedding</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Reversible data hiding</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Norouzzadeh, Mohammad Sadegh</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Dastghaibyfard, Gholamhossein</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Multidimensional systems and signal processing</subfield><subfield code="d">Springer US, 1990</subfield><subfield code="g">27(2015), 2 vom: 01. Jan., Seite 433-452</subfield><subfield code="w">(DE-627)130892076</subfield><subfield code="w">(DE-600)1041098-3</subfield><subfield code="w">(DE-576)038686074</subfield><subfield code="x">0923-6082</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:27</subfield><subfield code="g">year:2015</subfield><subfield code="g">number:2</subfield><subfield code="g">day:01</subfield><subfield code="g">month:01</subfield><subfield code="g">pages:433-452</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">https://doi.org/10.1007/s11045-014-0309-0</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-MAT</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OPC-MAT</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">27</subfield><subfield code="j">2015</subfield><subfield code="e">2</subfield><subfield code="b">01</subfield><subfield code="c">01</subfield><subfield code="h">433-452</subfield></datafield></record></collection>
|
| author |
Rahmani, Peyman |
| spellingShingle |
Rahmani, Peyman ddc 510 misc Image compression misc Vector quantization misc Locally adaptive data compression scheme misc Hilbert curve misc Data embedding misc Reversible data hiding A novel legitimacy preserving data hiding scheme based on LAS compressed code of VQ index tables |
| authorStr |
Rahmani, Peyman |
| ppnlink_with_tag_str_mv |
@@773@@(DE-627)130892076 |
| format |
Article |
| dewey-ones |
510 - Mathematics |
| delete_txt_mv |
keep |
| author_role |
aut aut aut |
| collection |
OLC |
| remote_str |
false |
| illustrated |
Not Illustrated |
| issn |
0923-6082 |
| topic_title |
510 VZ A novel legitimacy preserving data hiding scheme based on LAS compressed code of VQ index tables Image compression Vector quantization Locally adaptive data compression scheme Hilbert curve Data embedding Reversible data hiding |
| topic |
ddc 510 misc Image compression misc Vector quantization misc Locally adaptive data compression scheme misc Hilbert curve misc Data embedding misc Reversible data hiding |
| topic_unstemmed |
ddc 510 misc Image compression misc Vector quantization misc Locally adaptive data compression scheme misc Hilbert curve misc Data embedding misc Reversible data hiding |
| topic_browse |
ddc 510 misc Image compression misc Vector quantization misc Locally adaptive data compression scheme misc Hilbert curve misc Data embedding misc Reversible data hiding |
| format_facet |
Aufsätze Gedruckte Aufsätze |
| format_main_str_mv |
Text Zeitschrift/Artikel |
| carriertype_str_mv |
nc |
| hierarchy_parent_title |
Multidimensional systems and signal processing |
| hierarchy_parent_id |
130892076 |
| dewey-tens |
510 - Mathematics |
| hierarchy_top_title |
Multidimensional systems and signal processing |
| isfreeaccess_txt |
false |
| familylinks_str_mv |
(DE-627)130892076 (DE-600)1041098-3 (DE-576)038686074 |
| title |
A novel legitimacy preserving data hiding scheme based on LAS compressed code of VQ index tables |
| ctrlnum |
(DE-627)OLC2048107672 (DE-He213)s11045-014-0309-0-p |
| title_full |
A novel legitimacy preserving data hiding scheme based on LAS compressed code of VQ index tables |
| author_sort |
Rahmani, Peyman |
| journal |
Multidimensional systems and signal processing |
| journalStr |
Multidimensional systems and signal processing |
| lang_code |
eng |
| isOA_bool |
false |
| dewey-hundreds |
500 - Science |
| recordtype |
marc |
| publishDateSort |
2015 |
| contenttype_str_mv |
txt |
| container_start_page |
433 |
| author_browse |
Rahmani, Peyman Norouzzadeh, Mohammad Sadegh Dastghaibyfard, Gholamhossein |
| container_volume |
27 |
| class |
510 VZ |
| format_se |
Aufsätze |
| author-letter |
Rahmani, Peyman |
| doi_str_mv |
10.1007/s11045-014-0309-0 |
| dewey-full |
510 |
| title_sort |
a novel legitimacy preserving data hiding scheme based on las compressed code of vq index tables |
| title_auth |
A novel legitimacy preserving data hiding scheme based on LAS compressed code of VQ index tables |
| abstract |
Abstract Data hiding is a technique for secret and secure data storing and transmission that embeds data into a media such as an image, audio, video and so on, with minimal quality degradation of the media. Some developed data hiding schemes are reversible. Reversibility property allows the media to be recovered completely after extraction of the embedded data. Vector Quantization (VQ)-based image data hiding is one of the most popular study areas in the literature. However, most VQ-based reversible data hiding schemes generate non-legitimate codes as output. In other words output codes generated by such schemes could not be decoded by the conventional VQ or VQ based decoders and may arouse the attention of interceptors. On the other hand, the existing VQ based reversible data hiding schemes that generate legitimate VQ codes as output, suffer from low capacity and poor quality of stego-image. In this paper a novel reversible data hiding scheme for VQ-compressed images based on locally adaptive data compression scheme (LAS) is proposed. Unlike other schemes, the proposed scheme doesn’t change the VQ indices; data is embedded by choosing one of the possible ways to encode each index. As a result, in comparison with the schemes that embed data by index replacement, in the proposed scheme no extra distortion is made by data embedding and the outputted codes are compatible with the conventional LAS decoder. These properties help to hide the existence of secret data and make the scheme suitable for steganography. Moreover, a framework to combine the proposed scheme with some other schemes to improve their capacity and embedding side information is proposed. Since LAS is a general data compression scheme, the proposed scheme could be used to embed data into any data formats. All existing LAS based data hiding schemes produce non-legitimate codes as their outputs and the proposed scheme is the first and only one that produces legitimate codes as output. Experimental results show that the proposed scheme outperforms the existing LAS based schemes and some other VQ based data hiding schemes. On average, the proposed scheme embeds 2.14 bits per index with almost the same bit-rate as the bit-rate of the VQ index table. © Springer Science+Business Media New York 2014 |
| abstractGer |
Abstract Data hiding is a technique for secret and secure data storing and transmission that embeds data into a media such as an image, audio, video and so on, with minimal quality degradation of the media. Some developed data hiding schemes are reversible. Reversibility property allows the media to be recovered completely after extraction of the embedded data. Vector Quantization (VQ)-based image data hiding is one of the most popular study areas in the literature. However, most VQ-based reversible data hiding schemes generate non-legitimate codes as output. In other words output codes generated by such schemes could not be decoded by the conventional VQ or VQ based decoders and may arouse the attention of interceptors. On the other hand, the existing VQ based reversible data hiding schemes that generate legitimate VQ codes as output, suffer from low capacity and poor quality of stego-image. In this paper a novel reversible data hiding scheme for VQ-compressed images based on locally adaptive data compression scheme (LAS) is proposed. Unlike other schemes, the proposed scheme doesn’t change the VQ indices; data is embedded by choosing one of the possible ways to encode each index. As a result, in comparison with the schemes that embed data by index replacement, in the proposed scheme no extra distortion is made by data embedding and the outputted codes are compatible with the conventional LAS decoder. These properties help to hide the existence of secret data and make the scheme suitable for steganography. Moreover, a framework to combine the proposed scheme with some other schemes to improve their capacity and embedding side information is proposed. Since LAS is a general data compression scheme, the proposed scheme could be used to embed data into any data formats. All existing LAS based data hiding schemes produce non-legitimate codes as their outputs and the proposed scheme is the first and only one that produces legitimate codes as output. Experimental results show that the proposed scheme outperforms the existing LAS based schemes and some other VQ based data hiding schemes. On average, the proposed scheme embeds 2.14 bits per index with almost the same bit-rate as the bit-rate of the VQ index table. © Springer Science+Business Media New York 2014 |
| abstract_unstemmed |
Abstract Data hiding is a technique for secret and secure data storing and transmission that embeds data into a media such as an image, audio, video and so on, with minimal quality degradation of the media. Some developed data hiding schemes are reversible. Reversibility property allows the media to be recovered completely after extraction of the embedded data. Vector Quantization (VQ)-based image data hiding is one of the most popular study areas in the literature. However, most VQ-based reversible data hiding schemes generate non-legitimate codes as output. In other words output codes generated by such schemes could not be decoded by the conventional VQ or VQ based decoders and may arouse the attention of interceptors. On the other hand, the existing VQ based reversible data hiding schemes that generate legitimate VQ codes as output, suffer from low capacity and poor quality of stego-image. In this paper a novel reversible data hiding scheme for VQ-compressed images based on locally adaptive data compression scheme (LAS) is proposed. Unlike other schemes, the proposed scheme doesn’t change the VQ indices; data is embedded by choosing one of the possible ways to encode each index. As a result, in comparison with the schemes that embed data by index replacement, in the proposed scheme no extra distortion is made by data embedding and the outputted codes are compatible with the conventional LAS decoder. These properties help to hide the existence of secret data and make the scheme suitable for steganography. Moreover, a framework to combine the proposed scheme with some other schemes to improve their capacity and embedding side information is proposed. Since LAS is a general data compression scheme, the proposed scheme could be used to embed data into any data formats. All existing LAS based data hiding schemes produce non-legitimate codes as their outputs and the proposed scheme is the first and only one that produces legitimate codes as output. Experimental results show that the proposed scheme outperforms the existing LAS based schemes and some other VQ based data hiding schemes. On average, the proposed scheme embeds 2.14 bits per index with almost the same bit-rate as the bit-rate of the VQ index table. © Springer Science+Business Media New York 2014 |
| collection_details |
GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OPC-MAT GBV_ILN_70 |
| container_issue |
2 |
| title_short |
A novel legitimacy preserving data hiding scheme based on LAS compressed code of VQ index tables |
| url |
https://doi.org/10.1007/s11045-014-0309-0 |
| remote_bool |
false |
| author2 |
Norouzzadeh, Mohammad Sadegh Dastghaibyfard, Gholamhossein |
| author2Str |
Norouzzadeh, Mohammad Sadegh Dastghaibyfard, Gholamhossein |
| ppnlink |
130892076 |
| mediatype_str_mv |
n |
| isOA_txt |
false |
| hochschulschrift_bool |
false |
| doi_str |
10.1007/s11045-014-0309-0 |
| up_date |
2024-07-03T17:33:49.493Z |
| _version_ |
1803580111056797696 |
| fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">OLC2048107672</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230503194555.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">200819s2015 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s11045-014-0309-0</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC2048107672</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-He213)s11045-014-0309-0-p</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">510</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Rahmani, Peyman</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">A novel legitimacy preserving data hiding scheme based on LAS compressed code of VQ index tables</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2015</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Springer Science+Business Media New York 2014</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Data hiding is a technique for secret and secure data storing and transmission that embeds data into a media such as an image, audio, video and so on, with minimal quality degradation of the media. Some developed data hiding schemes are reversible. Reversibility property allows the media to be recovered completely after extraction of the embedded data. Vector Quantization (VQ)-based image data hiding is one of the most popular study areas in the literature. However, most VQ-based reversible data hiding schemes generate non-legitimate codes as output. In other words output codes generated by such schemes could not be decoded by the conventional VQ or VQ based decoders and may arouse the attention of interceptors. On the other hand, the existing VQ based reversible data hiding schemes that generate legitimate VQ codes as output, suffer from low capacity and poor quality of stego-image. In this paper a novel reversible data hiding scheme for VQ-compressed images based on locally adaptive data compression scheme (LAS) is proposed. Unlike other schemes, the proposed scheme doesn’t change the VQ indices; data is embedded by choosing one of the possible ways to encode each index. As a result, in comparison with the schemes that embed data by index replacement, in the proposed scheme no extra distortion is made by data embedding and the outputted codes are compatible with the conventional LAS decoder. These properties help to hide the existence of secret data and make the scheme suitable for steganography. Moreover, a framework to combine the proposed scheme with some other schemes to improve their capacity and embedding side information is proposed. Since LAS is a general data compression scheme, the proposed scheme could be used to embed data into any data formats. All existing LAS based data hiding schemes produce non-legitimate codes as their outputs and the proposed scheme is the first and only one that produces legitimate codes as output. Experimental results show that the proposed scheme outperforms the existing LAS based schemes and some other VQ based data hiding schemes. On average, the proposed scheme embeds 2.14 bits per index with almost the same bit-rate as the bit-rate of the VQ index table.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Image compression</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Vector quantization</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Locally adaptive data compression scheme</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Hilbert curve</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Data embedding</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Reversible data hiding</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Norouzzadeh, Mohammad Sadegh</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Dastghaibyfard, Gholamhossein</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Multidimensional systems and signal processing</subfield><subfield code="d">Springer US, 1990</subfield><subfield code="g">27(2015), 2 vom: 01. Jan., Seite 433-452</subfield><subfield code="w">(DE-627)130892076</subfield><subfield code="w">(DE-600)1041098-3</subfield><subfield code="w">(DE-576)038686074</subfield><subfield code="x">0923-6082</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:27</subfield><subfield code="g">year:2015</subfield><subfield code="g">number:2</subfield><subfield code="g">day:01</subfield><subfield code="g">month:01</subfield><subfield code="g">pages:433-452</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">https://doi.org/10.1007/s11045-014-0309-0</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-MAT</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OPC-MAT</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">27</subfield><subfield code="j">2015</subfield><subfield code="e">2</subfield><subfield code="b">01</subfield><subfield code="c">01</subfield><subfield code="h">433-452</subfield></datafield></record></collection>
|
| score |
7.3990602 |