DocumentCode :
3354672
Title :
Sparse shift-DCT spatial prediction
Author :
Thoreau, Dominique ; Martin, Aurélie ; François, Edouard ; Viéron, Jérôme ; Huynh-Thu, Quan
Author_Institution :
Technicolor Res. & Innovation Labs., Cesson-Sevigne, France
fYear :
2010
fDate :
26-29 Sept. 2010
Firstpage :
3385
Lastpage :
3388
Abstract :
In this paper, we propose a new intra prediction scheme based on hard thresholding applied on shift-DCT coefficients. The explored intra prediction method, validated in an H.264/AVC framework, aims at better predicting complex 2D patterns that cannot be properly extrapolated using H.264/AVC directional intra prediction modes. The basic explored algorithm makes use of neighbor pixels of the current block to predict the current signal using a shift-DCT based extrapolation. Different versions of the algorithm, corresponding to different hard thresholding parameter derivation processes, are described. Experimental results show that the proposed intra coding prediction method can significantly improve the coding efficiency compared to the directional predictive modes of H.264/AVC, with an average BD-rate gain of 6.2% observed on a various pictures test set.
Keywords :
adaptive codes; code standards; discrete cosine transforms; image segmentation; video coding; AVC; H.264; image thresholding; intra coding prediction method; shift-DCT coefficients; sparsity based prediction; texture extrapolation; Automatic voltage control; Discrete cosine transforms; Encoding; Estimation; Extrapolation; Pixel; Prediction algorithms; H.264/AVC; intra coding; shift DCT; sparsity-based prediction; texture extrapolation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2010 17th IEEE International Conference on
Conference_Location :
Hong Kong
ISSN :
1522-4880
Print_ISBN :
978-1-4244-7992-4
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2010.5652761
Filename :
5652761
Link To Document :
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