Laplacian model-based inverse quantization for DCT-based image codec system
Kwang‐deok Seo, Kook-Yeol Yoo, Jae‐Kyoon Kim · 2004
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.