QUALITY IMPROVEMENT OF COMPRESSED COLOR IMAGES USING A PROBABILISTIC APPROACH(International Workshop on Advanced Image Technology 2009)
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概要
- 論文の詳細を見る
In compressed color images, colors are usually represented by luminance and chrominance(YCbCr) components. Considering characteristics of human vision system, chrominance(CbCr) components are generally represented more coarsely than luminance component. Aiming at possible recovery of chrominance components, we propose a modelbased chrominance estimation algorithm where color images are modeled by a Markov random field(MRF). A simple MRF model is here used whose local conditional probability density function(pdf) for a color vector of a pixel is a Gaussian pdf depending on color vectors of its neighboring pixels. Chrominance components of a pixel are estimated by maximizing the conditional pdf given its luminance component and its neighboring color vectors. Experimental results show that the proposed chrominance estimation algorithm is effective for quality improvement of compressed color images such as JPEG and JPEG2000.
- 2009-01-05
著者
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Takao Nobuteru
Kyushu Institute of Technology, Dept. of Systems Design and Informatics
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Haraguchi Shun
Kyushu Institute of Technology, Dept. of Systems Design and Informatics
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Noda Hideki
Kyushu Institute of Technology, Dept. of Systems Design and Informatics
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Niimi Michiharu
Kyushu Institute of Technology, Dept. of Systems Design and Informatics
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Noda Hideki
Kyushu Inst. Technol. Iizuka Jpn
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Niimi Michiharu
Kyushu Institute Of Technology
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Niimi Michiharu
Kyushu Institute Of Technology Dept. Of Systems Design And Informatics
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Takao Nobuteru
Kyushu Institute Of Technology Dept. Of Systems Design And Informatics
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Noda Hideki
Kyushu Institute Of Technology Dept. Of Systems Design And Informatics
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Haraguchi Shun
Kyushu Institute Of Technology Dept. Of Systems Design And Informatics
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