An Efficient Laplacian-Model Based Dequantization for Uniformly Quantized DCT Coefficients

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概要

• 論文の詳細を見る

• 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 purpose, we estimate the probability distribution function (PDF) of original DCT coefficients in a decoder. By applying the estimated PDF into the reconstruction process, the dequantization distortion can be reduced. The proposed method can be used practically in any applications where uniform quantizers are used. In particular, it can be used for the quantization scheme of the JPEG and MPEG coding standards.

• 社団法人電子情報通信学会の論文
• 2002-02-01

著者

• Kim J‐k

  Korea Advanced Inst. Of Sci. And Technol. (kaist) Daejeon Kor

• KIM Jae-kyoon

  Division of Electrical Engineering, Department of Electrical Engineering and Computer Science, Korea

• Kim Jae-kyoon

  Division Of Electrical Engineering Department Of Electrical Engineering And Computer Science Korea A

• SEO Kwang-deok

  LG Electronics Inc.

• Yoo Kook-yeol

  School Of Electrical Engineering And Computer Science Yeungnam University

• SEO Kwang-Deok

  Division of Electrical Engineering, Department of Electrical Engineering and Computer Science, Korea

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• Practical R-Q and D-Q Models for Video Rate Control
• Laplacian-Model Based Requantization for INTRA-Frame Transcoding in VOD Application(Special Issue on Mobile Multimedia Communications)
• An Efficient Laplacian-Model Based Dequantization for Uniformly Quantized DCT Coefficients

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