Direction-adaptive context modeling for sign coding in embedded wavelet image coder

Sungjei Kim, Jinwoo Jeong, Yong Goo Kim, Yungho Choi, Yoonsik Choe

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

The conventional embedded wavelet image coder exploiting the adjacent neighbors is limited to efficiently compress the sign coefficients, since the wavelet coefficients are highly correlated along the dominant image features, such as edges or contours. To solve the problem, in this paper, we propose the direction-adaptive sign context modeling by adaptively exploiting the neighbors suitable to the dominant image features. Experimental results show that the sign coding based on the proposed context modeling reduces the sign bits up to 5.5% compared to the conventional sign coding method.

Original languageEnglish
Title of host publication2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings
PublisherIEEE Computer Society
Pages2809-2812
Number of pages4
ISBN (Print)9781424456543
DOIs
Publication statusPublished - 2009 Jan 1
Event2009 IEEE International Conference on Image Processing, ICIP 2009 - Cairo, Egypt
Duration: 2009 Nov 72009 Nov 10

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880

Other

Other2009 IEEE International Conference on Image Processing, ICIP 2009
CountryEgypt
CityCairo
Period09/11/709/11/10

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

Cite this

Kim, S., Jeong, J., Kim, Y. G., Choi, Y., & Choe, Y. (2009). Direction-adaptive context modeling for sign coding in embedded wavelet image coder. In 2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings (pp. 2809-2812). [5414218] (Proceedings - International Conference on Image Processing, ICIP). IEEE Computer Society. https://doi.org/10.1109/ICIP.2009.5414218
Kim, Sungjei ; Jeong, Jinwoo ; Kim, Yong Goo ; Choi, Yungho ; Choe, Yoonsik. / Direction-adaptive context modeling for sign coding in embedded wavelet image coder. 2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings. IEEE Computer Society, 2009. pp. 2809-2812 (Proceedings - International Conference on Image Processing, ICIP).
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abstract = "The conventional embedded wavelet image coder exploiting the adjacent neighbors is limited to efficiently compress the sign coefficients, since the wavelet coefficients are highly correlated along the dominant image features, such as edges or contours. To solve the problem, in this paper, we propose the direction-adaptive sign context modeling by adaptively exploiting the neighbors suitable to the dominant image features. Experimental results show that the sign coding based on the proposed context modeling reduces the sign bits up to 5.5{\%} compared to the conventional sign coding method.",
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Kim, S, Jeong, J, Kim, YG, Choi, Y & Choe, Y 2009, Direction-adaptive context modeling for sign coding in embedded wavelet image coder. in 2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings., 5414218, Proceedings - International Conference on Image Processing, ICIP, IEEE Computer Society, pp. 2809-2812, 2009 IEEE International Conference on Image Processing, ICIP 2009, Cairo, Egypt, 09/11/7. https://doi.org/10.1109/ICIP.2009.5414218

Direction-adaptive context modeling for sign coding in embedded wavelet image coder. / Kim, Sungjei; Jeong, Jinwoo; Kim, Yong Goo; Choi, Yungho; Choe, Yoonsik.

2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings. IEEE Computer Society, 2009. p. 2809-2812 5414218 (Proceedings - International Conference on Image Processing, ICIP).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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PY - 2009/1/1

Y1 - 2009/1/1

N2 - The conventional embedded wavelet image coder exploiting the adjacent neighbors is limited to efficiently compress the sign coefficients, since the wavelet coefficients are highly correlated along the dominant image features, such as edges or contours. To solve the problem, in this paper, we propose the direction-adaptive sign context modeling by adaptively exploiting the neighbors suitable to the dominant image features. Experimental results show that the sign coding based on the proposed context modeling reduces the sign bits up to 5.5% compared to the conventional sign coding method.

AB - The conventional embedded wavelet image coder exploiting the adjacent neighbors is limited to efficiently compress the sign coefficients, since the wavelet coefficients are highly correlated along the dominant image features, such as edges or contours. To solve the problem, in this paper, we propose the direction-adaptive sign context modeling by adaptively exploiting the neighbors suitable to the dominant image features. Experimental results show that the sign coding based on the proposed context modeling reduces the sign bits up to 5.5% compared to the conventional sign coding method.

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Kim S, Jeong J, Kim YG, Choi Y, Choe Y. Direction-adaptive context modeling for sign coding in embedded wavelet image coder. In 2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings. IEEE Computer Society. 2009. p. 2809-2812. 5414218. (Proceedings - International Conference on Image Processing, ICIP). https://doi.org/10.1109/ICIP.2009.5414218