Novel intra prediction via position-dependent filtering

doi:10.1016/j.jvcir.2010.11.003

	Novel intra prediction via position-dependent filtering
	Zhang, Li 1; Zhao, Xin 2,3; Ma, Siwei 1,4; Wang, Qiang 5; Gao, Wen 1
	2011-11-01
发表期刊	JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
ISSN	1047-3203
卷号	22 期号:8 页码:687-696
摘要	This paper presents a novel intra prediction algorithm, named position-dependent filtering (PDF), to improve the intra prediction accuracy. Different from the existing schemes where the samples along one prediction direction are predicted with the same set of filtering coefficients, in the proposed PDF, position-dependent filtering coefficients are employed, i.e., different sets of filtering coefficients are pre-defined for samples with different coordinates in one coding block. For each intra prediction mode, the set of linear filtering coefficients for each position within one block is obtained from off-line training using the least square method. Moreover, to further reduce the algorithm complexity, a simplified PDF (sPDF) is proposed. In sPDF, only a subset of reference samples are used for prediction and the others are discarded because of the minor contribution to intra prediction. The proposed algorithm has been implemented in the latest ITU-T VCEG KTA software. Experimental results demonstrate that, compared with the original KTA with new intra coding tool enabled, up to 0.53 dB of average coding gain is achieved by the proposed method, while applicable computational complexity is retained for practical video codecs. (C) 2010 Elsevier Inc. All rights reserved.
关键词	H.264 Image coding Intra prediction Interpolation filtering Least square method Mode-dependent directional transform (MDDT) KTA Singular value decomposition
DOI	10.1016/j.jvcir.2010.11.003
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[60833013] ; National Natural Science Foundation of China[60803068] ; National Basic Research Program of China (973 Program)[2009CB320903]
WOS研究方向	Computer Science
WOS类目	Computer Science, Information Systems ; Computer Science, Software Engineering
WOS记录号	WOS:000296223200001
出版者	ACADEMIC PRESS INC ELSEVIER SCIENCE
引用统计	被引频次：11[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/12764
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Zhang, Li
作者单位	1.Peking Univ, Inst Digital Media, Beijing 100871, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing, Peoples R China 3.Chinese Acad Sci, Grad Univ, Beijing, Peoples R China 4.Beijing Univ Aeronaut & Astronaut, State Key Lab Virtual Real Technol & Syst, Beijing 100083, Peoples R China 5.State Adm Radio Film & Televis, Acad Broadcasting Sci, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Zhang, Li,Zhao, Xin,Ma, Siwei,et al. Novel intra prediction via position-dependent filtering[J]. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION,2011,22(8):687-696.
APA	Zhang, Li,Zhao, Xin,Ma, Siwei,Wang, Qiang,&Gao, Wen.(2011).Novel intra prediction via position-dependent filtering.JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION,22(8),687-696.
MLA	Zhang, Li,et al."Novel intra prediction via position-dependent filtering".JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION 22.8(2011):687-696.