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• W1544418007 abstract "In this paper we examine the problem of bit in lossy image set compression. Instead of treating each image independently, image set compression algorithms examine the relationships among similar images and remove inter-image redundancies to improve compression performance. These algorithms map the original image set into a number of prediction residual images to be coded. Typically the same bit rate is used to encode each residual. We show that a rate-distortion approach based on Lagrangian optimization can lead to further improvement in image set compression algorithms." @default.
• W1544418007 created "2016-06-24" @default.
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• W1544418007 date "2014-05-12" @default.
• W1544418007 modified "2023-09-28" @default.
• W1544418007 title "Rate-distortion approach to bit allocation in lossy image set compression" @default.
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