Efficient multiplier-less parametric integer approximate transform based on 16-points DCT for image compression
Abstract The Discrete Cosine Transform (DCT) is one of the major components in most image and video compression systems. In this paper, a novel approach for developing integer approximation of the two-dimension 8 points conventional DCT-II is introduced. The proposed method is based on 16 points DCT...
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| Autor*in: |
Brahimi, Nabila [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2021 |
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| Schlagwörter: |
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| Anmerkung: |
© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 |
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| Übergeordnetes Werk: |
Enthalten in: Multimedia tools and applications - Dordrecht [u.a.] : Springer Science + Business Media B.V, 1995, 81(2021), 26 vom: 29. Sept., Seite 37723-37746 |
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| Übergeordnetes Werk: |
volume:81 ; year:2021 ; number:26 ; day:29 ; month:09 ; pages:37723-37746 |
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| DOI / URN: |
10.1007/s11042-021-11348-3 |
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| Katalog-ID: |
SPR048244953 |
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| 245 | 1 | 0 | |a Efficient multiplier-less parametric integer approximate transform based on 16-points DCT for image compression |
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| 520 | |a Abstract The Discrete Cosine Transform (DCT) is one of the major components in most image and video compression systems. In this paper, a novel approach for developing integer approximation of the two-dimension 8 points conventional DCT-II is introduced. The proposed method is based on 16 points DCT-II and rounding off operations. As result, we obtained multiplication-free 8-points approximation of conventional DCT-II, noted %${\mathrm{T}}_{\mathrm{pa}}%$, with the parameter a = {1,2}, and its basic elements are {0, ± 1, ± 2}; no multiplication operations are required. These two transforms are the more efficient DCT approximations with a reduction in the term of complexity computation, requiring 24 additions and 2-bit shifts for a = 1 or 24 additions and 6-bit shifts for a = 2; no multiplication required. The comparative study carried-out to assess the performance of the proposed transform matrices against some popular existing ones using different quality measures, has shown that the proposed transforms outperform the state-of-the-art of DCT approximations at low and high bit rates, as well as providing a lower computational complexity. Therefore, the capability of proposed transforms matrices is improved in image compression application. | ||
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| 650 | 4 | |a DCT-II |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Integer DCT |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Integer approximation |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a JPEG |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Bouden, Toufik |4 aut | |
| 700 | 1 | |a Brahimi, Tahar |4 aut | |
| 700 | 1 | |a Boubchir, Larbi |4 aut | |
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10.1007/s11042-021-11348-3 doi (DE-627)SPR048244953 (SPR)s11042-021-11348-3-e DE-627 ger DE-627 rakwb eng Brahimi, Nabila verfasserin (orcid)0000-0002-7576-5281 aut Efficient multiplier-less parametric integer approximate transform based on 16-points DCT for image compression 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 Abstract The Discrete Cosine Transform (DCT) is one of the major components in most image and video compression systems. In this paper, a novel approach for developing integer approximation of the two-dimension 8 points conventional DCT-II is introduced. The proposed method is based on 16 points DCT-II and rounding off operations. As result, we obtained multiplication-free 8-points approximation of conventional DCT-II, noted %${\mathrm{T}}_{\mathrm{pa}}%$, with the parameter a = {1,2}, and its basic elements are {0, ± 1, ± 2}; no multiplication operations are required. These two transforms are the more efficient DCT approximations with a reduction in the term of complexity computation, requiring 24 additions and 2-bit shifts for a = 1 or 24 additions and 6-bit shifts for a = 2; no multiplication required. The comparative study carried-out to assess the performance of the proposed transform matrices against some popular existing ones using different quality measures, has shown that the proposed transforms outperform the state-of-the-art of DCT approximations at low and high bit rates, as well as providing a lower computational complexity. Therefore, the capability of proposed transforms matrices is improved in image compression application. Image compression (dpeaa)DE-He213 DCT-II (dpeaa)DE-He213 Integer DCT (dpeaa)DE-He213 Integer approximation (dpeaa)DE-He213 JPEG (dpeaa)DE-He213 Bouden, Toufik aut Brahimi, Tahar aut Boubchir, Larbi aut Enthalten in Multimedia tools and applications Dordrecht [u.a.] : Springer Science + Business Media B.V, 1995 81(2021), 26 vom: 29. Sept., Seite 37723-37746 (DE-627)27135030X (DE-600)1479928-5 1573-7721 nnns volume:81 year:2021 number:26 day:29 month:09 pages:37723-37746 https://dx.doi.org/10.1007/s11042-021-11348-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 81 2021 26 29 09 37723-37746 |
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10.1007/s11042-021-11348-3 doi (DE-627)SPR048244953 (SPR)s11042-021-11348-3-e DE-627 ger DE-627 rakwb eng Brahimi, Nabila verfasserin (orcid)0000-0002-7576-5281 aut Efficient multiplier-less parametric integer approximate transform based on 16-points DCT for image compression 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 Abstract The Discrete Cosine Transform (DCT) is one of the major components in most image and video compression systems. In this paper, a novel approach for developing integer approximation of the two-dimension 8 points conventional DCT-II is introduced. The proposed method is based on 16 points DCT-II and rounding off operations. As result, we obtained multiplication-free 8-points approximation of conventional DCT-II, noted %${\mathrm{T}}_{\mathrm{pa}}%$, with the parameter a = {1,2}, and its basic elements are {0, ± 1, ± 2}; no multiplication operations are required. These two transforms are the more efficient DCT approximations with a reduction in the term of complexity computation, requiring 24 additions and 2-bit shifts for a = 1 or 24 additions and 6-bit shifts for a = 2; no multiplication required. The comparative study carried-out to assess the performance of the proposed transform matrices against some popular existing ones using different quality measures, has shown that the proposed transforms outperform the state-of-the-art of DCT approximations at low and high bit rates, as well as providing a lower computational complexity. Therefore, the capability of proposed transforms matrices is improved in image compression application. Image compression (dpeaa)DE-He213 DCT-II (dpeaa)DE-He213 Integer DCT (dpeaa)DE-He213 Integer approximation (dpeaa)DE-He213 JPEG (dpeaa)DE-He213 Bouden, Toufik aut Brahimi, Tahar aut Boubchir, Larbi aut Enthalten in Multimedia tools and applications Dordrecht [u.a.] : Springer Science + Business Media B.V, 1995 81(2021), 26 vom: 29. Sept., Seite 37723-37746 (DE-627)27135030X (DE-600)1479928-5 1573-7721 nnns volume:81 year:2021 number:26 day:29 month:09 pages:37723-37746 https://dx.doi.org/10.1007/s11042-021-11348-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 81 2021 26 29 09 37723-37746 |
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10.1007/s11042-021-11348-3 doi (DE-627)SPR048244953 (SPR)s11042-021-11348-3-e DE-627 ger DE-627 rakwb eng Brahimi, Nabila verfasserin (orcid)0000-0002-7576-5281 aut Efficient multiplier-less parametric integer approximate transform based on 16-points DCT for image compression 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 Abstract The Discrete Cosine Transform (DCT) is one of the major components in most image and video compression systems. In this paper, a novel approach for developing integer approximation of the two-dimension 8 points conventional DCT-II is introduced. The proposed method is based on 16 points DCT-II and rounding off operations. As result, we obtained multiplication-free 8-points approximation of conventional DCT-II, noted %${\mathrm{T}}_{\mathrm{pa}}%$, with the parameter a = {1,2}, and its basic elements are {0, ± 1, ± 2}; no multiplication operations are required. These two transforms are the more efficient DCT approximations with a reduction in the term of complexity computation, requiring 24 additions and 2-bit shifts for a = 1 or 24 additions and 6-bit shifts for a = 2; no multiplication required. The comparative study carried-out to assess the performance of the proposed transform matrices against some popular existing ones using different quality measures, has shown that the proposed transforms outperform the state-of-the-art of DCT approximations at low and high bit rates, as well as providing a lower computational complexity. Therefore, the capability of proposed transforms matrices is improved in image compression application. Image compression (dpeaa)DE-He213 DCT-II (dpeaa)DE-He213 Integer DCT (dpeaa)DE-He213 Integer approximation (dpeaa)DE-He213 JPEG (dpeaa)DE-He213 Bouden, Toufik aut Brahimi, Tahar aut Boubchir, Larbi aut Enthalten in Multimedia tools and applications Dordrecht [u.a.] : Springer Science + Business Media B.V, 1995 81(2021), 26 vom: 29. Sept., Seite 37723-37746 (DE-627)27135030X (DE-600)1479928-5 1573-7721 nnns volume:81 year:2021 number:26 day:29 month:09 pages:37723-37746 https://dx.doi.org/10.1007/s11042-021-11348-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 81 2021 26 29 09 37723-37746 |
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10.1007/s11042-021-11348-3 doi (DE-627)SPR048244953 (SPR)s11042-021-11348-3-e DE-627 ger DE-627 rakwb eng Brahimi, Nabila verfasserin (orcid)0000-0002-7576-5281 aut Efficient multiplier-less parametric integer approximate transform based on 16-points DCT for image compression 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 Abstract The Discrete Cosine Transform (DCT) is one of the major components in most image and video compression systems. In this paper, a novel approach for developing integer approximation of the two-dimension 8 points conventional DCT-II is introduced. The proposed method is based on 16 points DCT-II and rounding off operations. As result, we obtained multiplication-free 8-points approximation of conventional DCT-II, noted %${\mathrm{T}}_{\mathrm{pa}}%$, with the parameter a = {1,2}, and its basic elements are {0, ± 1, ± 2}; no multiplication operations are required. These two transforms are the more efficient DCT approximations with a reduction in the term of complexity computation, requiring 24 additions and 2-bit shifts for a = 1 or 24 additions and 6-bit shifts for a = 2; no multiplication required. The comparative study carried-out to assess the performance of the proposed transform matrices against some popular existing ones using different quality measures, has shown that the proposed transforms outperform the state-of-the-art of DCT approximations at low and high bit rates, as well as providing a lower computational complexity. Therefore, the capability of proposed transforms matrices is improved in image compression application. Image compression (dpeaa)DE-He213 DCT-II (dpeaa)DE-He213 Integer DCT (dpeaa)DE-He213 Integer approximation (dpeaa)DE-He213 JPEG (dpeaa)DE-He213 Bouden, Toufik aut Brahimi, Tahar aut Boubchir, Larbi aut Enthalten in Multimedia tools and applications Dordrecht [u.a.] : Springer Science + Business Media B.V, 1995 81(2021), 26 vom: 29. Sept., Seite 37723-37746 (DE-627)27135030X (DE-600)1479928-5 1573-7721 nnns volume:81 year:2021 number:26 day:29 month:09 pages:37723-37746 https://dx.doi.org/10.1007/s11042-021-11348-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 81 2021 26 29 09 37723-37746 |
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10.1007/s11042-021-11348-3 doi (DE-627)SPR048244953 (SPR)s11042-021-11348-3-e DE-627 ger DE-627 rakwb eng Brahimi, Nabila verfasserin (orcid)0000-0002-7576-5281 aut Efficient multiplier-less parametric integer approximate transform based on 16-points DCT for image compression 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 Abstract The Discrete Cosine Transform (DCT) is one of the major components in most image and video compression systems. In this paper, a novel approach for developing integer approximation of the two-dimension 8 points conventional DCT-II is introduced. The proposed method is based on 16 points DCT-II and rounding off operations. As result, we obtained multiplication-free 8-points approximation of conventional DCT-II, noted %${\mathrm{T}}_{\mathrm{pa}}%$, with the parameter a = {1,2}, and its basic elements are {0, ± 1, ± 2}; no multiplication operations are required. These two transforms are the more efficient DCT approximations with a reduction in the term of complexity computation, requiring 24 additions and 2-bit shifts for a = 1 or 24 additions and 6-bit shifts for a = 2; no multiplication required. The comparative study carried-out to assess the performance of the proposed transform matrices against some popular existing ones using different quality measures, has shown that the proposed transforms outperform the state-of-the-art of DCT approximations at low and high bit rates, as well as providing a lower computational complexity. Therefore, the capability of proposed transforms matrices is improved in image compression application. Image compression (dpeaa)DE-He213 DCT-II (dpeaa)DE-He213 Integer DCT (dpeaa)DE-He213 Integer approximation (dpeaa)DE-He213 JPEG (dpeaa)DE-He213 Bouden, Toufik aut Brahimi, Tahar aut Boubchir, Larbi aut Enthalten in Multimedia tools and applications Dordrecht [u.a.] : Springer Science + Business Media B.V, 1995 81(2021), 26 vom: 29. Sept., Seite 37723-37746 (DE-627)27135030X (DE-600)1479928-5 1573-7721 nnns volume:81 year:2021 number:26 day:29 month:09 pages:37723-37746 https://dx.doi.org/10.1007/s11042-021-11348-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 81 2021 26 29 09 37723-37746 |
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Brahimi, Nabila @@aut@@ Bouden, Toufik @@aut@@ Brahimi, Tahar @@aut@@ Boubchir, Larbi @@aut@@ |
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In this paper, a novel approach for developing integer approximation of the two-dimension 8 points conventional DCT-II is introduced. The proposed method is based on 16 points DCT-II and rounding off operations. As result, we obtained multiplication-free 8-points approximation of conventional DCT-II, noted %${\mathrm{T}}_{\mathrm{pa}}%$, with the parameter a = {1,2}, and its basic elements are {0, ± 1, ± 2}; no multiplication operations are required. These two transforms are the more efficient DCT approximations with a reduction in the term of complexity computation, requiring 24 additions and 2-bit shifts for a = 1 or 24 additions and 6-bit shifts for a = 2; no multiplication required. The comparative study carried-out to assess the performance of the proposed transform matrices against some popular existing ones using different quality measures, has shown that the proposed transforms outperform the state-of-the-art of DCT approximations at low and high bit rates, as well as providing a lower computational complexity. 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Brahimi, Nabila |
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Brahimi, Nabila misc Image compression misc DCT-II misc Integer DCT misc Integer approximation misc JPEG Efficient multiplier-less parametric integer approximate transform based on 16-points DCT for image compression |
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Efficient multiplier-less parametric integer approximate transform based on 16-points DCT for image compression Image compression (dpeaa)DE-He213 DCT-II (dpeaa)DE-He213 Integer DCT (dpeaa)DE-He213 Integer approximation (dpeaa)DE-He213 JPEG (dpeaa)DE-He213 |
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Efficient multiplier-less parametric integer approximate transform based on 16-points DCT for image compression |
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efficient multiplier-less parametric integer approximate transform based on 16-points dct for image compression |
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Efficient multiplier-less parametric integer approximate transform based on 16-points DCT for image compression |
| abstract |
Abstract The Discrete Cosine Transform (DCT) is one of the major components in most image and video compression systems. In this paper, a novel approach for developing integer approximation of the two-dimension 8 points conventional DCT-II is introduced. The proposed method is based on 16 points DCT-II and rounding off operations. As result, we obtained multiplication-free 8-points approximation of conventional DCT-II, noted %${\mathrm{T}}_{\mathrm{pa}}%$, with the parameter a = {1,2}, and its basic elements are {0, ± 1, ± 2}; no multiplication operations are required. These two transforms are the more efficient DCT approximations with a reduction in the term of complexity computation, requiring 24 additions and 2-bit shifts for a = 1 or 24 additions and 6-bit shifts for a = 2; no multiplication required. The comparative study carried-out to assess the performance of the proposed transform matrices against some popular existing ones using different quality measures, has shown that the proposed transforms outperform the state-of-the-art of DCT approximations at low and high bit rates, as well as providing a lower computational complexity. Therefore, the capability of proposed transforms matrices is improved in image compression application. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 |
| abstractGer |
Abstract The Discrete Cosine Transform (DCT) is one of the major components in most image and video compression systems. In this paper, a novel approach for developing integer approximation of the two-dimension 8 points conventional DCT-II is introduced. The proposed method is based on 16 points DCT-II and rounding off operations. As result, we obtained multiplication-free 8-points approximation of conventional DCT-II, noted %${\mathrm{T}}_{\mathrm{pa}}%$, with the parameter a = {1,2}, and its basic elements are {0, ± 1, ± 2}; no multiplication operations are required. These two transforms are the more efficient DCT approximations with a reduction in the term of complexity computation, requiring 24 additions and 2-bit shifts for a = 1 or 24 additions and 6-bit shifts for a = 2; no multiplication required. The comparative study carried-out to assess the performance of the proposed transform matrices against some popular existing ones using different quality measures, has shown that the proposed transforms outperform the state-of-the-art of DCT approximations at low and high bit rates, as well as providing a lower computational complexity. Therefore, the capability of proposed transforms matrices is improved in image compression application. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 |
| abstract_unstemmed |
Abstract The Discrete Cosine Transform (DCT) is one of the major components in most image and video compression systems. In this paper, a novel approach for developing integer approximation of the two-dimension 8 points conventional DCT-II is introduced. The proposed method is based on 16 points DCT-II and rounding off operations. As result, we obtained multiplication-free 8-points approximation of conventional DCT-II, noted %${\mathrm{T}}_{\mathrm{pa}}%$, with the parameter a = {1,2}, and its basic elements are {0, ± 1, ± 2}; no multiplication operations are required. These two transforms are the more efficient DCT approximations with a reduction in the term of complexity computation, requiring 24 additions and 2-bit shifts for a = 1 or 24 additions and 6-bit shifts for a = 2; no multiplication required. The comparative study carried-out to assess the performance of the proposed transform matrices against some popular existing ones using different quality measures, has shown that the proposed transforms outperform the state-of-the-art of DCT approximations at low and high bit rates, as well as providing a lower computational complexity. Therefore, the capability of proposed transforms matrices is improved in image compression application. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 |
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Efficient multiplier-less parametric integer approximate transform based on 16-points DCT for image compression |
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https://dx.doi.org/10.1007/s11042-021-11348-3 |
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Bouden, Toufik Brahimi, Tahar Boubchir, Larbi |
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10.1007/s11042-021-11348-3 |
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2024-07-03T17:57:51.956Z |
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| score |
7.4014044 |