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Journal of Electronic Imaging

Design of image-adaptive quantization tables for JPEG
Author(s): Hei Tao Fung; Kevin J. Parker
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Paper Abstract

The rate-distortion trade-off in the discrete cosine transform- based coding scheme in ISO/JPEG is determined by the quantization table. To permit a different quality to be selected by a user, a common practice is to scale the standard quantization tables that have been empirically determined from psychovisual experiments. In this paper, an algorithm is presented to generate a quantization table that is optimized for a given image and for a given distortion. The computational complexity of this algorithm is reduced compared to other techniques. The optimized, image-adaptive quantization table typically yields an improvement of 15% to 20% in bit rate compared to the use of standard, scaled quantization tables. Once an optimized quantization table has been generated for a specific image, it can also be applied to other images with similar content with a small sacrifice in bit rate.

Paper Details

Date Published: 1 April 1995
PDF: 7 pages
J. Electron. Imag. 4(2) doi: 10.1117/12.199459
Published in: Journal of Electronic Imaging Volume 4, Issue 2
Show Author Affiliations
Hei Tao Fung, Univ. of Rochester (United States)
Kevin J. Parker, Univ. of Rochester (United States)

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