DocumentCode :
590726
Title :
Lossy and lossless intra coding performance evaluation: HEVC, H.264/AVC, JPEG 2000 and JPEG LS
Author :
Qi Cai ; Li Song ; Guichun Li ; Nam Ling
Author_Institution :
Shanghai Jiaotong Univ., Shanghai, China
fYear :
2012
fDate :
3-6 Dec. 2012
Firstpage :
1
Lastpage :
9
Abstract :
High Efficiency Video Coding (HEVC), the latest international standard of video coding under development, has shown a major breakthrough with regards to compression efficiency. But most of the currently published studies were intended to evaluate the overall R-D performance of HEVC in comparison to prior H.264/AVC video coding standard. In this paper, we present sufficient rate-distortion performance comparisons of image coding between the HEVC and previous image and intra-only video coding standards, including JPEG 2000, JPEG LS and H.264/AVC intra high profile. In addition, some recently reported performances of HEVC are also reviewed and compared. The coding simulations are conducted on a set of recommended video sequences during the development of the HEVC standard. Experimental results show that HEVC can offer consistent performance gains over a wide range of bitrates on natural video sequences as expected. Besides, we also present the comparison results of all these standards in the scenario of lossless image coding.
Keywords :
adaptive codes; code standards; image sequences; video coding; AVC; H.264; HEVC; JPEG 2000; JPEG LS; R-D performance; high efficiency video coding; international standard; lossless intra coding performance evaluation; lossy intra coding performance evaluation; natural video sequences; video coding standard; video compression; Bit rate; Encoding; Image coding; Standards; Transform coding; Transforms; Video coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal & Information Processing Association Annual Summit and Conference (APSIPA ASC), 2012 Asia-Pacific
Conference_Location :
Hollywood, CA
Print_ISBN :
978-1-4673-4863-8
Type :
conf
Filename :
6411873
Link To Document :
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