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• W2110578249 abstract "In this paper, we propose a multiple component predictive coding framework. We firstly separate the reconstructed image into several subcomponents; and then predict each subcomponent independently but encode them together. To separate image into multiple subcomponents, we also propose a fast operator-based image separation algorithm. With the help of multicomponent prediction strategy, our prediction results can achieve superior performance than the H.264/AVC intra frame prediction method for images containing rich textures. By adopting the residue coding method used in H.264/AVC, we compare the compression efficacy of our proposed algorithm with the state-of-art JPEG2000 and H.264/AVC intra frame compression algorithms in the experimental part. The numerical results show that our algorithm is better than both H.264/AVC intra frame coding algorithm and JPEG2000 algorithm for images with ample textures." @default.
• W2110578249 created "2016-06-24" @default.
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• W2110578249 date "2011-07-01" @default.
• W2110578249 modified "2023-09-25" @default.
• W2110578249 title "Multiple component predictive coding framework of still images" @default.
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• W2110578249 doi "https://doi.org/10.1109/icme.2011.6011891" @default.
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