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- W2043082007 abstract "Most color compression systems reduce the redundancies between the RGB color components by transforming the color primaries into a decorrelated color space, such as YIQ or YUV. In this paper a different compression approach is proposed. Since the high correlation of the RGB color channels implicitly suggests a localized functional relation between the components, it is used here in an alternative framework, by approximating subordinate colors as functions of a base color allowing that only a reduced number of parameters is required for coding the color information. Furthermore, since this correlation is particularly high locally, the image is first sub-divided into regions and for each region the correlation is analyzed and exploited separately. The size of the encoded regions is gradually reduced to allow progressively a more refined description of the transmitted image. Compression results of this progressive approach, which could be useful for slower communication channels, are presented and compared with JPEG as a typical example of the decorrelation approach. Our conclusion is that the proposed new approach to progressive image coding could be superior to presently available compression techniques." @default.
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- W2043082007 date "2007-05-01" @default.
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- W2043082007 title "Color image coding using regional correlation of primary colors" @default.
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- W2043082007 doi "https://doi.org/10.1016/j.imavis.2006.05.007" @default.
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