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Proceedings Paper

Performance analysis of an adaptive transform coder using uncovered background predictor
Author(s): Keng-Pang Lim; Man Nang Chong; Amitabha Das
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Paper Abstract

The drawbacks of the current state of transform based coding algorithms used in the CCITT H.261 video coding standard are evaluated. The inefficiencies of the CCITT H.261 based algorithms can be seen as: (1) the image is partitioned into fixed block-size of 8 by 8 pixels for processing. The encoded information of the codec has a fixed data structure which may not be efficient in terms of minimal data representation. The fixed block-size approach is not adaptive to the change of scene activity. (2) The use of a single last-frame for predictive conditional replenishment coding is not effective and is highly susceptible to accumulated interframe coding error. In this paper, we attempt to improve the CCITT H.261 based coding algorithms by finding a solution to the above mentioned inefficiencies. Two major developments have been accomplished for efficient coding of video signals. First, an adaptive video coding algorithm with the aim to obtain the desirable attributes of an efficient or ideal data structure for the encoded information is developed and implemented. Next, a background predictor is implemented with the adaptive video coding algorithm to improve the efficiency of predictive conditional replenishment coding in H.261 based algorithms. The results obtained from the proposed, 'adaptive transform coder with uncovered background predictor' algorithm compare favorably with those of H.261 based algorithms. The new method renders a more significant gain in compression ratio than the fixed block-size algorithm and the peak signal-to-noise-ratio is only a fraction of decibel lower than that of a fixed block-size algorithm. The results were obtained by testing the new algorithm with standard test sequences of images.

Paper Details

Date Published: 27 February 1996
PDF: 12 pages
Proc. SPIE 2727, Visual Communications and Image Processing '96, (27 February 1996); doi: 10.1117/12.233211
Show Author Affiliations
Keng-Pang Lim, Nanyang Technological Univ. (Singapore)
Man Nang Chong, Nanyang Technological Univ. (Singapore)
Amitabha Das, Nanyang Technological Univ. (Singapore)

Published in SPIE Proceedings Vol. 2727:
Visual Communications and Image Processing '96
Rashid Ansari; Mark J. T. Smith, Editor(s)

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