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During Coefficient thresholding (CT), the last several nonzero DCT coefficients after quantization are dropped if better Rate-Distortion (RD) performance can be achieved. Since image data can be reconstructed by incomplete frequency information with some prior knowledge of image property (e.g., luminance continuity), the quality degradation caused by CT can be sometimes alleviated by some prior knowledge...
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,...
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