Entropy-Based Evaluation of Context Models for Wavelet-Transformed Images
Entropy is a measure of a message uncertainty. Among others aspects, it serves to determine the minimum coding rate that practical systems may attain. This paper defines an entropy-based measure to evaluate context models employed in wavelet-based image coding. The proposed measure is defined consid...
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| Autor*in: |
Auli-Llinas, Francesc [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2015 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: IEEE transactions on image processing - New York, NY : Inst., 1992, 24(2015), 1, Seite 57-67 |
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| Übergeordnetes Werk: |
volume:24 ; year:2015 ; number:1 ; pages:57-67 |
| Links: |
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| DOI / URN: |
10.1109/TIP.2014.2370937 |
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| Katalog-ID: |
OLC1959239414 |
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| 520 | |a Entropy is a measure of a message uncertainty. Among others aspects, it serves to determine the minimum coding rate that practical systems may attain. This paper defines an entropy-based measure to evaluate context models employed in wavelet-based image coding. The proposed measure is defined considering the mechanisms utilized by modern coding systems. It establishes the maximum performance achievable with each context model. This helps to determine the adequateness of the model under different coding conditions and serves to predict with high precision the coding rate achieved by practical systems. Experimental results evaluate four well-known context models using different types of images, coding rates, and transform strategies. They reveal that, under specific coding conditions, some widely-spread context models may not be as adequate as it is generally thought. The hints provided by this analysis may help to design simpler and more efficient wavelet-based image codecs. | ||
| 650 | 4 | |a wavelet transforms | |
| 650 | 4 | |a bitplane image coding | |
| 650 | 4 | |a JPEG2000 | |
| 650 | 4 | |a minimum coding rate | |
| 650 | 4 | |a image entropy | |
| 650 | 4 | |a Encoding | |
| 650 | 4 | |a Transform coding | |
| 650 | 4 | |a entropy | |
| 650 | 4 | |a image coding | |
| 650 | 4 | |a wavelet-transformed images | |
| 650 | 4 | |a Context modeling | |
| 650 | 4 | |a wavelet-based image coding | |
| 650 | 4 | |a message uncertainty | |
| 650 | 4 | |a codecs | |
| 650 | 4 | |a context models | |
| 650 | 4 | |a wavelet transform | |
| 650 | 4 | |a coding conditions | |
| 650 | 4 | |a Context | |
| 650 | 4 | |a wavelet-based image codecs | |
| 650 | 4 | |a entropy-based evaluation | |
| 650 | 4 | |a Image coding | |
| 650 | 4 | |a Guidelines | |
| 650 | 4 | |a Entropy (Information theory) | |
| 650 | 4 | |a Wavelet transforms | |
| 650 | 4 | |a Analysis | |
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10.1109/TIP.2014.2370937 doi PQ20160617 (DE-627)OLC1959239414 (DE-599)GBVOLC1959239414 (PRQ)c2625-4065b74ae836517f68549f454e7ad7bc43319e60f4d186502f758b18e7950e1a0 (KEY)0213811520150000024000100057entropybasedevaluationofcontextmodelsforwavelettra DE-627 ger DE-627 rakwb eng 004 620 DNB 54.00 bkl Auli-Llinas, Francesc verfasserin aut Entropy-Based Evaluation of Context Models for Wavelet-Transformed Images 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Entropy is a measure of a message uncertainty. Among others aspects, it serves to determine the minimum coding rate that practical systems may attain. This paper defines an entropy-based measure to evaluate context models employed in wavelet-based image coding. The proposed measure is defined considering the mechanisms utilized by modern coding systems. It establishes the maximum performance achievable with each context model. This helps to determine the adequateness of the model under different coding conditions and serves to predict with high precision the coding rate achieved by practical systems. Experimental results evaluate four well-known context models using different types of images, coding rates, and transform strategies. They reveal that, under specific coding conditions, some widely-spread context models may not be as adequate as it is generally thought. The hints provided by this analysis may help to design simpler and more efficient wavelet-based image codecs. wavelet transforms bitplane image coding JPEG2000 minimum coding rate image entropy Encoding Transform coding entropy image coding wavelet-transformed images Context modeling wavelet-based image coding message uncertainty codecs context models wavelet transform coding conditions Context wavelet-based image codecs entropy-based evaluation Image coding Guidelines Entropy (Information theory) Wavelet transforms Analysis Enthalten in IEEE transactions on image processing New York, NY : Inst., 1992 24(2015), 1, Seite 57-67 (DE-627)131074458 (DE-600)1111265-7 (DE-576)029165008 1057-7149 nnns volume:24 year:2015 number:1 pages:57-67 http://dx.doi.org/10.1109/TIP.2014.2370937 Volltext http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6957583 http://www.ncbi.nlm.nih.gov/pubmed/25415984 http://search.proquest.com/docview/1662080528 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT GBV_ILN_70 GBV_ILN_2005 GBV_ILN_4318 54.00 AVZ AR 24 2015 1 57-67 |
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10.1109/TIP.2014.2370937 doi PQ20160617 (DE-627)OLC1959239414 (DE-599)GBVOLC1959239414 (PRQ)c2625-4065b74ae836517f68549f454e7ad7bc43319e60f4d186502f758b18e7950e1a0 (KEY)0213811520150000024000100057entropybasedevaluationofcontextmodelsforwavelettra DE-627 ger DE-627 rakwb eng 004 620 DNB 54.00 bkl Auli-Llinas, Francesc verfasserin aut Entropy-Based Evaluation of Context Models for Wavelet-Transformed Images 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Entropy is a measure of a message uncertainty. Among others aspects, it serves to determine the minimum coding rate that practical systems may attain. This paper defines an entropy-based measure to evaluate context models employed in wavelet-based image coding. The proposed measure is defined considering the mechanisms utilized by modern coding systems. It establishes the maximum performance achievable with each context model. This helps to determine the adequateness of the model under different coding conditions and serves to predict with high precision the coding rate achieved by practical systems. Experimental results evaluate four well-known context models using different types of images, coding rates, and transform strategies. They reveal that, under specific coding conditions, some widely-spread context models may not be as adequate as it is generally thought. The hints provided by this analysis may help to design simpler and more efficient wavelet-based image codecs. wavelet transforms bitplane image coding JPEG2000 minimum coding rate image entropy Encoding Transform coding entropy image coding wavelet-transformed images Context modeling wavelet-based image coding message uncertainty codecs context models wavelet transform coding conditions Context wavelet-based image codecs entropy-based evaluation Image coding Guidelines Entropy (Information theory) Wavelet transforms Analysis Enthalten in IEEE transactions on image processing New York, NY : Inst., 1992 24(2015), 1, Seite 57-67 (DE-627)131074458 (DE-600)1111265-7 (DE-576)029165008 1057-7149 nnns volume:24 year:2015 number:1 pages:57-67 http://dx.doi.org/10.1109/TIP.2014.2370937 Volltext http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6957583 http://www.ncbi.nlm.nih.gov/pubmed/25415984 http://search.proquest.com/docview/1662080528 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT GBV_ILN_70 GBV_ILN_2005 GBV_ILN_4318 54.00 AVZ AR 24 2015 1 57-67 |
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10.1109/TIP.2014.2370937 doi PQ20160617 (DE-627)OLC1959239414 (DE-599)GBVOLC1959239414 (PRQ)c2625-4065b74ae836517f68549f454e7ad7bc43319e60f4d186502f758b18e7950e1a0 (KEY)0213811520150000024000100057entropybasedevaluationofcontextmodelsforwavelettra DE-627 ger DE-627 rakwb eng 004 620 DNB 54.00 bkl Auli-Llinas, Francesc verfasserin aut Entropy-Based Evaluation of Context Models for Wavelet-Transformed Images 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Entropy is a measure of a message uncertainty. Among others aspects, it serves to determine the minimum coding rate that practical systems may attain. This paper defines an entropy-based measure to evaluate context models employed in wavelet-based image coding. The proposed measure is defined considering the mechanisms utilized by modern coding systems. It establishes the maximum performance achievable with each context model. This helps to determine the adequateness of the model under different coding conditions and serves to predict with high precision the coding rate achieved by practical systems. Experimental results evaluate four well-known context models using different types of images, coding rates, and transform strategies. They reveal that, under specific coding conditions, some widely-spread context models may not be as adequate as it is generally thought. The hints provided by this analysis may help to design simpler and more efficient wavelet-based image codecs. wavelet transforms bitplane image coding JPEG2000 minimum coding rate image entropy Encoding Transform coding entropy image coding wavelet-transformed images Context modeling wavelet-based image coding message uncertainty codecs context models wavelet transform coding conditions Context wavelet-based image codecs entropy-based evaluation Image coding Guidelines Entropy (Information theory) Wavelet transforms Analysis Enthalten in IEEE transactions on image processing New York, NY : Inst., 1992 24(2015), 1, Seite 57-67 (DE-627)131074458 (DE-600)1111265-7 (DE-576)029165008 1057-7149 nnns volume:24 year:2015 number:1 pages:57-67 http://dx.doi.org/10.1109/TIP.2014.2370937 Volltext http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6957583 http://www.ncbi.nlm.nih.gov/pubmed/25415984 http://search.proquest.com/docview/1662080528 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT GBV_ILN_70 GBV_ILN_2005 GBV_ILN_4318 54.00 AVZ AR 24 2015 1 57-67 |
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10.1109/TIP.2014.2370937 doi PQ20160617 (DE-627)OLC1959239414 (DE-599)GBVOLC1959239414 (PRQ)c2625-4065b74ae836517f68549f454e7ad7bc43319e60f4d186502f758b18e7950e1a0 (KEY)0213811520150000024000100057entropybasedevaluationofcontextmodelsforwavelettra DE-627 ger DE-627 rakwb eng 004 620 DNB 54.00 bkl Auli-Llinas, Francesc verfasserin aut Entropy-Based Evaluation of Context Models for Wavelet-Transformed Images 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Entropy is a measure of a message uncertainty. Among others aspects, it serves to determine the minimum coding rate that practical systems may attain. This paper defines an entropy-based measure to evaluate context models employed in wavelet-based image coding. The proposed measure is defined considering the mechanisms utilized by modern coding systems. It establishes the maximum performance achievable with each context model. This helps to determine the adequateness of the model under different coding conditions and serves to predict with high precision the coding rate achieved by practical systems. Experimental results evaluate four well-known context models using different types of images, coding rates, and transform strategies. They reveal that, under specific coding conditions, some widely-spread context models may not be as adequate as it is generally thought. The hints provided by this analysis may help to design simpler and more efficient wavelet-based image codecs. wavelet transforms bitplane image coding JPEG2000 minimum coding rate image entropy Encoding Transform coding entropy image coding wavelet-transformed images Context modeling wavelet-based image coding message uncertainty codecs context models wavelet transform coding conditions Context wavelet-based image codecs entropy-based evaluation Image coding Guidelines Entropy (Information theory) Wavelet transforms Analysis Enthalten in IEEE transactions on image processing New York, NY : Inst., 1992 24(2015), 1, Seite 57-67 (DE-627)131074458 (DE-600)1111265-7 (DE-576)029165008 1057-7149 nnns volume:24 year:2015 number:1 pages:57-67 http://dx.doi.org/10.1109/TIP.2014.2370937 Volltext http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6957583 http://www.ncbi.nlm.nih.gov/pubmed/25415984 http://search.proquest.com/docview/1662080528 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT GBV_ILN_70 GBV_ILN_2005 GBV_ILN_4318 54.00 AVZ AR 24 2015 1 57-67 |
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10.1109/TIP.2014.2370937 doi PQ20160617 (DE-627)OLC1959239414 (DE-599)GBVOLC1959239414 (PRQ)c2625-4065b74ae836517f68549f454e7ad7bc43319e60f4d186502f758b18e7950e1a0 (KEY)0213811520150000024000100057entropybasedevaluationofcontextmodelsforwavelettra DE-627 ger DE-627 rakwb eng 004 620 DNB 54.00 bkl Auli-Llinas, Francesc verfasserin aut Entropy-Based Evaluation of Context Models for Wavelet-Transformed Images 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Entropy is a measure of a message uncertainty. Among others aspects, it serves to determine the minimum coding rate that practical systems may attain. This paper defines an entropy-based measure to evaluate context models employed in wavelet-based image coding. The proposed measure is defined considering the mechanisms utilized by modern coding systems. It establishes the maximum performance achievable with each context model. This helps to determine the adequateness of the model under different coding conditions and serves to predict with high precision the coding rate achieved by practical systems. Experimental results evaluate four well-known context models using different types of images, coding rates, and transform strategies. They reveal that, under specific coding conditions, some widely-spread context models may not be as adequate as it is generally thought. The hints provided by this analysis may help to design simpler and more efficient wavelet-based image codecs. wavelet transforms bitplane image coding JPEG2000 minimum coding rate image entropy Encoding Transform coding entropy image coding wavelet-transformed images Context modeling wavelet-based image coding message uncertainty codecs context models wavelet transform coding conditions Context wavelet-based image codecs entropy-based evaluation Image coding Guidelines Entropy (Information theory) Wavelet transforms Analysis Enthalten in IEEE transactions on image processing New York, NY : Inst., 1992 24(2015), 1, Seite 57-67 (DE-627)131074458 (DE-600)1111265-7 (DE-576)029165008 1057-7149 nnns volume:24 year:2015 number:1 pages:57-67 http://dx.doi.org/10.1109/TIP.2014.2370937 Volltext http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6957583 http://www.ncbi.nlm.nih.gov/pubmed/25415984 http://search.proquest.com/docview/1662080528 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT GBV_ILN_70 GBV_ILN_2005 GBV_ILN_4318 54.00 AVZ AR 24 2015 1 57-67 |
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Among others aspects, it serves to determine the minimum coding rate that practical systems may attain. This paper defines an entropy-based measure to evaluate context models employed in wavelet-based image coding. The proposed measure is defined considering the mechanisms utilized by modern coding systems. It establishes the maximum performance achievable with each context model. This helps to determine the adequateness of the model under different coding conditions and serves to predict with high precision the coding rate achieved by practical systems. Experimental results evaluate four well-known context models using different types of images, coding rates, and transform strategies. They reveal that, under specific coding conditions, some widely-spread context models may not be as adequate as it is generally thought. 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004 620 DNB 54.00 bkl Entropy-Based Evaluation of Context Models for Wavelet-Transformed Images wavelet transforms bitplane image coding JPEG2000 minimum coding rate image entropy Encoding Transform coding entropy image coding wavelet-transformed images Context modeling wavelet-based image coding message uncertainty codecs context models wavelet transform coding conditions Context wavelet-based image codecs entropy-based evaluation Image coding Guidelines Entropy (Information theory) Wavelet transforms Analysis |
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Entropy-Based Evaluation of Context Models for Wavelet-Transformed Images |
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Entropy is a measure of a message uncertainty. Among others aspects, it serves to determine the minimum coding rate that practical systems may attain. This paper defines an entropy-based measure to evaluate context models employed in wavelet-based image coding. The proposed measure is defined considering the mechanisms utilized by modern coding systems. It establishes the maximum performance achievable with each context model. This helps to determine the adequateness of the model under different coding conditions and serves to predict with high precision the coding rate achieved by practical systems. Experimental results evaluate four well-known context models using different types of images, coding rates, and transform strategies. They reveal that, under specific coding conditions, some widely-spread context models may not be as adequate as it is generally thought. The hints provided by this analysis may help to design simpler and more efficient wavelet-based image codecs. |
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Entropy is a measure of a message uncertainty. Among others aspects, it serves to determine the minimum coding rate that practical systems may attain. This paper defines an entropy-based measure to evaluate context models employed in wavelet-based image coding. The proposed measure is defined considering the mechanisms utilized by modern coding systems. It establishes the maximum performance achievable with each context model. This helps to determine the adequateness of the model under different coding conditions and serves to predict with high precision the coding rate achieved by practical systems. Experimental results evaluate four well-known context models using different types of images, coding rates, and transform strategies. They reveal that, under specific coding conditions, some widely-spread context models may not be as adequate as it is generally thought. The hints provided by this analysis may help to design simpler and more efficient wavelet-based image codecs. |
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Entropy is a measure of a message uncertainty. Among others aspects, it serves to determine the minimum coding rate that practical systems may attain. This paper defines an entropy-based measure to evaluate context models employed in wavelet-based image coding. The proposed measure is defined considering the mechanisms utilized by modern coding systems. It establishes the maximum performance achievable with each context model. This helps to determine the adequateness of the model under different coding conditions and serves to predict with high precision the coding rate achieved by practical systems. Experimental results evaluate four well-known context models using different types of images, coding rates, and transform strategies. They reveal that, under specific coding conditions, some widely-spread context models may not be as adequate as it is generally thought. The hints provided by this analysis may help to design simpler and more efficient wavelet-based image codecs. |
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Entropy-Based Evaluation of Context Models for Wavelet-Transformed Images |
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