TitleAdaptive perceptual preprocessing for video coding
AuthorsXiang, Guoqing
Jia, Huizhu
Liu, Jie
Cai, Binbin
Li, Yuan
Xie, Xiaodong
AffiliationEECS of Peking University, Beijing, 100871, China
Cooperative Medianet Innovation Center and Beida (Binhai) Information Research, China
Issue Date2016
Publisher2016 IEEE International Symposium on Circuits and Systems, ISCAS 2016
Citation2016 IEEE International Symposium on Circuits and Systems, ISCAS 2016.2016,2016-July,2535-2538.
AbstractThe quantization of block DCT coefficients is too coarse, and will result in much non-uniform artifacts, therefore, blocking and ring artifacts are usually visible in reconstructed video frames especially when the bitrate is not sufficient. In this paper, we present an adaptive perceptual preprocessing (APP) method to reduce the probability of these artifacts generated in video encoding. The APP algorithm employs a novel filter based on just noticeable distortion filter (JNDF) and adaptive bilateral filter (ABF), and they can be adaptively chosen by block characteristics and quantization parameters. Experimental results demonstrate our proposed algorithm can significantly improve the subjective quality of reconstructed image. ? 2016 IEEE.
URIhttp://hdl.handle.net/20.500.11897/449331
ISSN9781479953400
DOI10.1109/ISCAS.2016.7539109
IndexedEI
Appears in Collections:信息科学技术学院

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