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- W1890136614 abstract "The generation of multi-resolution codebooks for encoding and decoding large (2K/spl times/1K) color images is, in general, a challenging task, due to the long search processes involved. We have used an adaptive clustering technique for generating multi-resolution codebooks by vector quantization of wavelet-transformed sub-images up to four levels of decomposition in an efficient manner. Using a combination of clustering up to the fourth level and selective retention of sub-images at the first and second levels, images of varying qualities can be reconstructed from a multi-resolution codebook. The histograms of the reconstructed images demonstrate little or no change from the histogram of the original, even up to a compression ratio of 132:1. The peak signal-to-noise ratio and the mean square error are also better than those from other benchmark compression techniques." @default.
- W1890136614 created "2016-06-24" @default.
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- W1890136614 date "2002-11-27" @default.
- W1890136614 modified "2023-09-24" @default.
- W1890136614 title "Wavelet based adaptive vector quantization for encoding large color images" @default.
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- W1890136614 doi "https://doi.org/10.1109/cbms.1998.701353" @default.
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