The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
양자화는 DCT(이산 코사인 변환) 영역에서 압축으로 이어지는 필수 단계입니다. 본 논문에서는 효율적인 재구성 방법을 사용하여 통계적으로 최적이 아닌 균일 양자화기를 어떻게 개선할 수 있는지 보여줍니다. 이를 위해 디코더에서 원본 DCT 계수의 확률 분포 함수(PDF)를 추정합니다. 추정된 PDF를 재구성 과정에 적용함으로써 역양자화 왜곡을 줄일 수 있습니다. 제안된 방법은 균일 양자화기가 사용되는 모든 응용 분야에서 실질적으로 사용될 수 있습니다. 특히, JPEG 및 MPEG 코딩 표준의 양자화 방식에 사용될 수 있습니다.
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부
Kwang-Deok SEO, Kook-Yeol YOO, Jae-Kyoon KIM, "An Efficient Laplacian-Model Based Dequantization for Uniformly Quantized DCT Coefficients" in IEICE TRANSACTIONS on Information,
vol. E85-D, no. 2, pp. 421-425, February 2002, doi: .
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 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.
URL: https://global.ieice.org/en_transactions/information/10.1587/e85-d_2_421/_p
부
@ARTICLE{e85-d_2_421,
author={Kwang-Deok SEO, Kook-Yeol YOO, Jae-Kyoon KIM, },
journal={IEICE TRANSACTIONS on Information},
title={An Efficient Laplacian-Model Based Dequantization for Uniformly Quantized DCT Coefficients},
year={2002},
volume={E85-D},
number={2},
pages={421-425},
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 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.},
keywords={},
doi={},
ISSN={},
month={February},}
부
TY - JOUR
TI - An Efficient Laplacian-Model Based Dequantization for Uniformly Quantized DCT Coefficients
T2 - IEICE TRANSACTIONS on Information
SP - 421
EP - 425
AU - Kwang-Deok SEO
AU - Kook-Yeol YOO
AU - Jae-Kyoon KIM
PY - 2002
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E85-D
IS - 2
JA - IEICE TRANSACTIONS on Information
Y1 - February 2002
AB - 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.
ER -