Local MAP estimation for quality improvement of compressed color images
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概要
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This paper concerns color image restoration aiming at objective quality improvementof compressed color images in general rather than merely artifactreduction. In compressed color images, colors are usually represented byluminance and chrominance components. Considering characteristics of humanvision system, chrominance components are generally represented morecoarsely than luminance component. To recover such chrominance components,we previously proposed a model-based chrominance restoration algorithmwhere color images are modeled by a Markov random field. This paperpresents a color image restoration algorithm derived by the MAP estimationwhere all components are totally estimated. Experimental results show thatthe proposed restoration algorithm is more effective than the previous one.
論文 | ランダム
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- スポ-ツ人類学専門分科会シンポジウム--スポ-ツ人類学の課題と展望 (日本体育学会第40回大会報告号)
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