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Laplacian model-based inverse quantization for DCT-based image codec system | IEEE Conference Publication | IEEE Xplore

Laplacian model-based inverse quantization for DCT-based image codec system


Abstract:

Quantization is an essential step which leads to compression in discrete cosine transform (DCT) domain. In this paper, we show how a statistically non-optimal uniform qua...Show More

Abstract:

Quantization is an essential step which leads to compression in discrete cosine transform (DCT) domain. In this paper, we show how a statistically non-optimal uniform quantizer can be improved by employing an efficient reconstruction method. For this method, we estimate the probability distribution function (PDF) of original DCT coefficients in a decoder. The proposed method can be used practically in any applications where uniform quantizers are used.
Date of Conference: 23-26 May 2004
Date Added to IEEE Xplore: 03 September 2004
Print ISBN:0-7803-8251-X
Conference Location: Vancouver, BC, Canada

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