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Efficient Color Image Compression with Category-Based Entropy Coder

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Please use this identifier to cite or link to this item:http://hdl.handle.net/2115/39800

Title: Efficient Color Image Compression with Category-Based Entropy Coder
Authors: Lee, Kenneth K. C. Browse this author
Chan, Y. K. Browse this author
Issue Date: 4-Oct-2009
Publisher: Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference, International Organizing Committee
Journal Title: Proceedings : APSIPA ASC 2009 : Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference
Start Page: 747
End Page: 754
Abstract: Images nowadays are generally multi-channeled in nature. Apart from the luminance component, there are extra channels representing information like chrominance and transparency. Despite the fact that single-channel (grayscale) compressors could be applied directly to multi-channel sources, the performance is usually sub-optimal, owing to the distinctive numeric range and statistical distribution of data. If a scheme codes everything indiscriminately, it may end up allocating too many or too few bits to chrominance, resulting in unnecessarily large file size or artifacts like color-bleeding. This paper describes an efficient image compression scheme which works well for both single-channeled and multi-channeled images. The scheme first decorrelates images with directional and intra-image decorrealtors and the transformed coefficients are compressed. The proposed scheme makes use of a unified, category-based entropy coder, which adapts well to the statistical distribution of coefficients in different regions and channels. Experiment results show that the scheme outperforms the state-of-the-art JPEG2000 compressor by about 18%, together with a more pleasant perceptual quality.
Description: APSIPA ASC 2009: Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference. 4-7 October 2009. Sapporo, Japan. Oral session: Low-level Color Image Processing (7 October 2009).
Conference Name: APSIPA ASC 2009: Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference
2009年アジア太平洋信号情報処理連合学会アニュアルサミット・国際会議
Conference Place: Sapporo
Type: proceedings
URI: http://hdl.handle.net/2115/39800
Appears in Collections:北海道大学サステナビリティ・ウィーク2009 (Sustainability Weeks 2009) > 2009年アジア太平洋信号情報処理連合学会アニュアルサミット・国際会議 (2009 APSIPA Annual Summit and Conference)

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