22 October 1993 Image sequence coding using frame-adaptive vector quantization
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Proceedings Volume 2094, Visual Communications and Image Processing '93; (1993) https://doi.org/10.1117/12.158011
Event: Visual Communications and Image Processing '93, 1993, Cambridge, MA, United States
Vector quantization (VQ) is a promising technique for low bit rate image coding. Recently image sequence coding algorithms based on VQ have been reported in the literature. We note that image sequences are highly non stationary and generally exhibit variations from frame to frame and from scene to scene; hence using a fixed VQ codebook to encode the different frames/sequences cannot guarantee a good coding performance. Several adaptive techniques which improve the coding performance have been reported. However, we note that most adaptive techniques result in further increases in the computational complexity and/or the bit rate. In this paper, a new frame adaptive VQ technique for image sequence coding (SC- FAVQ) is presented. This technique exploits the inter/intraframe correlations and provides frame adaptability at a reduced complexity. In addition, a dynamic self organized codebook is used to track the local statistics from frame to frame. Computer simulations using standard CCITT image sequences demonstrate the superior coding performance of SC-FAVQ.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Fayez M. Idris, Fayez M. Idris, Sethuraman Panchanathan, Sethuraman Panchanathan, } "Image sequence coding using frame-adaptive vector quantization", Proc. SPIE 2094, Visual Communications and Image Processing '93, (22 October 1993); doi: 10.1117/12.158011; https://doi.org/10.1117/12.158011

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