Paper
7 May 2003 A DCT-domain filtering algorithm for MPEG-4 encoding
Gwladys Hermant, Francoise Groliere
Author Affiliations +
Proceedings Volume 5022, Image and Video Communications and Processing 2003; (2003) https://doi.org/10.1117/12.476446
Event: Electronic Imaging 2003, 2003, Santa Clara, CA, United States
Abstract
One of the well-known weaknesses of block-based video compression schemes such as MPEG-4, at low bit-rates, is blocking artifacts. They can be well removed by post-processing solutions offering an efficient deblocking filter, unfortunately at the cost of a significant increase of the decoding process complexity. In this paper, we propose a new method to reduce blocking artifacts (thus increasing the visual quality of sequences or the compression rate) at the encoding stage to get rid of, or to help, the post-processing step. We consider a filtering operation in the DCT domain, applied on blocks before quantization to leave the decoding process unmodified. The solution is adaptive and focuses on regions which would be a priori blocky regarding some texture features and encoding parameters. It is based on the mix of quantization step reduction at the frame level, with DCT coefficients low-pass filtering at the block level, on top of any bit-rate regulation module. Tests showed the efficiency of the method: the sequences encoded with our DCT filter are cleaner, with less ringing and, above all, fewer blocking artifacts than the ones without any processing. Visual quality is therefore better for a constant bit consumption. Depending on cases, post-processing is either useless or improved by our process.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Gwladys Hermant and Francoise Groliere "A DCT-domain filtering algorithm for MPEG-4 encoding", Proc. SPIE 5022, Image and Video Communications and Processing 2003, (7 May 2003); https://doi.org/10.1117/12.476446
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KEYWORDS
Quantization

Computer programming

Image processing

Visualization

Linear filtering

Image filtering

Algorithm development

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