Local MAP estimation for quality improvement of compressed color images |
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Authors: | Hideki Noda [Author Vitae] Michiharu Niimi [Author Vitae] |
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Affiliation: | Department of Systems Design and Informatics, Kyushu Institute of Technology, 680-4 Kawazu, Iizuka 820-8502, Japan |
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Abstract: | This paper concerns color image restoration aiming at objective quality improvement of compressed color images in general rather than merely artifact reduction. In compressed color images, colors are usually represented by luminance and chrominance components. Considering characteristics of human vision system, chrominance components are generally represented more coarsely than luminance component. To recover such chrominance components, we previously proposed a model-based chrominance restoration algorithm where color images are modeled by a Markov random field. This paper presents a color image restoration algorithm derived by the MAP estimation, where all components are totally estimated. Experimental results show that the proposed restoration algorithm is more effective than the previous one. |
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Keywords: | Compressed color images Image restoration MAP estimation MRF JPEG JPEG2000 |
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