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Proceedings Paper

Prediction of signs of DCT coefficients in block-based lossy image compression
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Paper Abstract

A practical impossibility of prediction of signs of DCT coefficients is generally accepted. Therefore each coded sign of DCT coefficients occupies usually 1 bit of memory in compressed data. At the same time data of all coded signs of DCT coefficients occupy about 20-25% of a compressed image. In this work we propose an effective approach to predict signs of DCT coefficients in block based image compression. For that, values of pixels of already coded/decoded neighbor blocks of the image are used. The approach consist two stages. At first, values of pixels of a row and a column which both are the nearest to already coded neighbor blocks are predicted by a context-based adaptive predictor. At second stage, these row and column are used for prediction of the signs of the DCT coefficients. Depending on complexity of an image proposed method allows to compress signs of DCT coefficients to 60-85% from their original size. It corresponds to increase of compression ratio of the entire image by 3-9% (or up to 0.5 dB improvement in PSNR).

Paper Details

Date Published: 27 February 2007
PDF: 8 pages
Proc. SPIE 6497, Image Processing: Algorithms and Systems V, 64970L (27 February 2007); doi: 10.1117/12.713872
Show Author Affiliations
Nikolay N. Ponomarenko, National Aerospace Univ. (Ukraine)
Andriy V. Bazhyna, Tampere Univ. of Technology (Finland)
Karen O. Egiazarian, Tampere Univ. of Technology (Finland)

Published in SPIE Proceedings Vol. 6497:
Image Processing: Algorithms and Systems V
Jaakko T. Astola; Karen O. Egiazarian; Edward R. Dougherty, Editor(s)

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