Paper
28 December 1998 Bitplane coding of DCT coefficients for image and video compression
Fan Ling, Weiping Li, Hongqiao Sun
Author Affiliations +
Proceedings Volume 3653, Visual Communications and Image Processing '99; (1998) https://doi.org/10.1117/12.334699
Event: Electronic Imaging '99, 1999, San Jose, CA, United States
Abstract
In the current image and video coding standards, such as MPEG- 1, MPEG-2, MPEG-4, H.261, H.263, and JPEG, quantized DCT coefficients are entropy coded using a so-called run_value coding technique. A problem with this technique is that the statistics of the run_value symbols are highly dependent on the quantization step size and the dynamic range of the DCT coefficients. Therefore, a single fixed entropy coding table cannot achieve the optimal coding efficiency for all possible quantization step sizes and all possible dynamic ranges of the DCT coefficients. Bitplane coding of the DCT coefficients is a new coding scheme that overcomes this problem. It provides a better performance than run_value coding under all conditions.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Fan Ling, Weiping Li, and Hongqiao Sun "Bitplane coding of DCT coefficients for image and video compression", Proc. SPIE 3653, Visual Communications and Image Processing '99, (28 December 1998); https://doi.org/10.1117/12.334699
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Cited by 29 scholarly publications and 1 patent.
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KEYWORDS
Quantization

Image compression

Video

Video coding

Video compression

Binary data

Computer programming

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