DocumentCode :
2833065
Title :
Low-complexity mode-dependent KLT for block-based intra coding
Author :
Yeo, Chuohao ; Tan, Yih Han ; Li, Zhengguo
Author_Institution :
Signal Process. Dept., Inst. for Infocomm Res., Singapore, Singapore
fYear :
2011
fDate :
11-14 Sept. 2011
Firstpage :
3685
Lastpage :
3688
Abstract :
Applying mode-dependent separable transforms, e.g., mode- dependent directional transform (MDDT), is an effective method for improving transform coding of intra prediction residuals. However, two transform matrices typically need to be stored for each intra prediction mode. By using a simple image correlation mode, we have previously derived and proposed a simplified mode-dependent separable transforms scheme that uses a combination of two well-known trans- forms: Discrete Cosine Transform (DCT) and Discrete Sine Transform (DST). In this paper, we propose an orthogonal 4-point integer DST that has a multiplier-less implementation consisting of only adds and bit-shifts. We also propose a simple set of mode-dependent scans for coefficient coding that can be used on top of mode-dependent transforms. Our experimental results on the current HEVC reference software show that in terms of coding efficiency, our proposed approach has comparable performance to MDDT. More importantly, compared to MDDT, our approach requires no training and has lower computational and storage costs.
Keywords :
computational complexity; discrete cosine transforms; image coding; DCT; HEVC reference software; MDDT; block-based intra coding; discrete cosine transform; discrete sine transform; intra prediction residuals; low-complexity mode-dependent KLT; mode-dependent separable transforms; mode-dependent transforms; orthogonal 4-point integer DST; transform coding; Conferences; Covariance matrix; Discrete cosine transforms; Image coding; Software; HEVC; Intra coding; Transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2011 18th IEEE International Conference on
Conference_Location :
Brussels
ISSN :
1522-4880
Print_ISBN :
978-1-4577-1304-0
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2011.6116519
Filename :
6116519
Link To Document :
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