DocumentCode :
2252989
Title :
Lossless video compression with residual image prediction and coding (RIPC)
Author :
Zhang, Qi ; Dai, Yunyang ; Kuo, C. C Jay
Author_Institution :
Ming Hsieh Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA, USA
fYear :
2009
fDate :
24-27 May 2009
Firstpage :
617
Lastpage :
620
Abstract :
A lossless video compression scheme is proposed based on residual image prediction and coding (RIPC) in this work. We first study different prediction schemes used in lossless coding, and observe that prediction residuals are not white but in form of granular noise. This study reveals a need to treat residual images with granular noise carefully. Then, we propose a new scheme, called RIPC, to encode the residual image effectively. Experimental results show that the proposed RIPC scheme outperforms the H.264 lossless intra prediction (H.264-LS) and JPEG-LS with a bit rate saving of 20% and 12%, respectively.
Keywords :
data compression; video coding; RIPC scheme; granular noise; lossless compression algorithm; residual image prediction-and-coding; video compression scheme; Automatic voltage control; Discrete cosine transforms; Entropy; High definition video; Image coding; Image storage; Predictive models; Pulse modulation; Streaming media; Video compression;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 2009. ISCAS 2009. IEEE International Symposium on
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-3827-3
Electronic_ISBN :
978-1-4244-3828-0
Type :
conf
DOI :
10.1109/ISCAS.2009.5117824
Filename :
5117824
Link To Document :
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