DocumentCode :
3327517
Title :
Low complexity lossless image compression using efficient context modeling
Author :
Park, Sung-Bum ; Kim, Jung-Woo ; Choi, Dai-Woong ; Yoon, Jae-Won ; Kim, Jae-Hyun
Author_Institution :
Multimedia Platform Lab., Samsung Electron. Co., Ltd., Suwon, South Korea
fYear :
2010
fDate :
26-29 Sept. 2010
Firstpage :
485
Lastpage :
488
Abstract :
A novel context modeling scheme is presented for lossless image compression. First, each line in the input image is divided into 1 × N line segments, called processing unit (PU). Then, the statistical reference is evaluated in each PU, which reveals the randomness of pixels in the local image region. The context is designed based on both neighbor pixels and the statistical reference. Finally, each pixel is adaptively compressed based on the proposed context condition. In the experiment, the proposed scheme yields the comparable performance to the standard JPEG-LS, while the number of context conditions are decreased by 30%. Moreover, the proposed system outperforms H.264/AVC and JPEG-XR by 8.3% and 4.9%, respectively.
Keywords :
image coding; statistical analysis; ubiquitous computing; context conditions; context modeling; input image; low complexity lossless image compression; processing unit; statistical reference; Automatic voltage control; Complexity theory; Context; Context modeling; Decoding; Image coding; Pixel;
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.2010.5651124
Filename :
5651124
Link To Document :
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