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Lossless video compression with residual image prediction and coding (RIPC)

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3 Author(s)
Qi Zhang ; Ming Hsieh Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA, USA ; Yunyang Dai ; Kuo, C.-C.J.

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.

Published in:

Circuits and Systems, 2009. ISCAS 2009. IEEE International Symposium on

Date of Conference:

24-27 May 2009