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- W2138702697 abstract "In this paper, we propose a context-based inverse quantization and show its application in wavelet image compression. The proposed method breaks the traditional one-to-one mapping of the quantization index to reconstruction value in inverse quantization while maps an index to several different reconstruction values according to the corresponding contexts of the index. By accurate context modeling, this method can reduce the quantization distortion significantly. Since the quantization indices used for encoding is not changed, this method does not increase the encoding bit rates except the negligible overhead." @default.
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- W2138702697 date "2009-05-01" @default.
- W2138702697 modified "2023-09-26" @default.
- W2138702697 title "Context-based inverse quantization and its application in wavelet image compression" @default.
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- W2138702697 doi "https://doi.org/10.1109/iscas.2009.5117823" @default.
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