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CLC number: TN919.8

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Received: 2006-03-15

Revision Accepted: 2006-07-10

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Journal of Zhejiang University SCIENCE A 2006 Vol.7 No.12 P.2057-2062


An adaptive preprocessing algorithm for low bitrate video coding

Author(s):  LI Mao-quan, XU Zheng-quan

Affiliation(s):  School of Electronic Information, Wuhan University, Wuhan 430079, China; more

Corresponding email(s):   limaoquan@263.net

Key Words:  Blocking artifact, Quantization parameter, Video preprocessing, Bilateral filtering

LI Mao-quan, XU Zheng-quan. An adaptive preprocessing algorithm for low bitrate video coding[J]. Journal of Zhejiang University Science A, 2006, 7(12): 2057-2062.

@article{title="An adaptive preprocessing algorithm for low bitrate video coding",
author="LI Mao-quan, XU Zheng-quan",
journal="Journal of Zhejiang University Science A",
publisher="Zhejiang University Press & Springer",

%0 Journal Article
%T An adaptive preprocessing algorithm for low bitrate video coding
%A LI Mao-quan
%A XU Zheng-quan
%J Journal of Zhejiang University SCIENCE A
%V 7
%N 12
%P 2057-2062
%@ 1673-565X
%D 2006
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2006.A2057

T1 - An adaptive preprocessing algorithm for low bitrate video coding
A1 - LI Mao-quan
A1 - XU Zheng-quan
J0 - Journal of Zhejiang University Science A
VL - 7
IS - 12
SP - 2057
EP - 2062
%@ 1673-565X
Y1 - 2006
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.2006.A2057

At low bitrate, all block discrete cosine transform (BDCT) based video coding algorithms suffer from visible blocking and ringing artifacts in the reconstructed images because the quantization is too coarse and high frequency DCT coefficients are inclined to be quantized to zeros. Preprocessing algorithms can enhance coding efficiency and thus reduce the likelihood of blocking artifacts and ringing artifacts generated in the video coding process by applying a low-pass filter before video encoding to remove some relatively insignificant high frequent components. In this paper, we introduce a new adaptive preprocessing algorithm, which employs an improved bilateral filter to provide adaptive edge-preserving low-pass filtering which is adjusted according to the quantization parameters. Whether at low or high bit rate, the preprocessing can provide proper filtering to make the video encoder more efficient and have better reconstructed image quality. Experimental results demonstrate that our proposed preprocessing algorithm can significantly improve both subjective and objective quality.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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