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High-Quality Color Image Compression by Quantization Crossing Color Spaces
Shuyuan Y. Zhu1; Zhiying Y. He1; Chen Chen2; Shuaicheng C. Liu1; Jiantao Zhou3; Yuanfang Guo4,5; Bing Zeng1
2018-05-28
Source PublicationIEEE Transactions on Circuits and Systems for Video Technology
ISSN1051-8215
Abstract

Coding of a color image usually happens in the YCbCr space so that the rate-distortion optimization is conducted in this space. Due to the use of a non-unitary matrix in the RGBto-YCbCr conversion, an optimal coding performance achieved in the YCbCr space does not guarantee an optimal quality in the RGB space, which would impact most display devices that need RGB signals as the inputs. In this paper, we first study the relationship between the coding distortions of the compressed RGB signals and the quantization errors occurred in the coded YCbCr signals. Then, we design a new quantization scheme crossing the RGB and YCbCr spaces to achieve a high-quality color image compression with the YCbCr 4:4:4 format. Although our proposed quantization takes place in the YCbCr space, it aims at reducing the coding distortion in the RGB space as much as possible. Experimental results demonstrate that our proposed method offers a significant quality gain over the existing blockbased coding methods for various images

KeywordColor Image Compression Rgb Space Ycbcr Space Error Compensation
DOI10.1109/TCSVT.2018.2841642
Indexed BySCIE
Language英語English
WOS Research AreaEngineering
WOS SubjectEngineering, Electrical & Electronic
WOS IDWOS:000467063100019
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Cited Times [WOS]:3   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Corresponding AuthorYuanfang Guo; Bing Zeng
Affiliation1.School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
2.Tencent Company Ltd., Shenzhen, China
3.Faculty of Science and Technology, University of Macau, Macau 999078, China
4.State Key Laboratory of Information Security, Institute of Information Engineering, Chinese Academy of Sciences, Beijing 100093, China
5.Science and Technology on Information Assurance Laboratory, Beijing 100072, China
Recommended Citation
GB/T 7714
Shuyuan Y. Zhu,Zhiying Y. He,Chen Chen,et al. High-Quality Color Image Compression by Quantization Crossing Color Spaces[J]. IEEE Transactions on Circuits and Systems for Video Technology,2018.
APA Shuyuan Y. Zhu,Zhiying Y. He,Chen Chen,Shuaicheng C. Liu,Jiantao Zhou,Yuanfang Guo,&Bing Zeng.(2018).High-Quality Color Image Compression by Quantization Crossing Color Spaces.IEEE Transactions on Circuits and Systems for Video Technology.
MLA Shuyuan Y. Zhu,et al."High-Quality Color Image Compression by Quantization Crossing Color Spaces".IEEE Transactions on Circuits and Systems for Video Technology (2018).
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