1 April 1995 Design of image-adaptive quantization tables for JPEG
Author Affiliations +
J. of Electronic Imaging, 4(2), (1995). doi:10.1117/12.199459
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.
Hei Tao Fung, Kevin J. Parker, "Design of image-adaptive quantization tables for JPEG," Journal of Electronic Imaging 4(2), (1 April 1995). http://dx.doi.org/10.1117/12.199459
JOURNAL ARTICLE
7 PAGES


SHARE
KEYWORDS
Quantization

Distortion

Detection and tracking algorithms

Image compression

Computer programming

Image enhancement

Image quality

RELATED CONTENT

Visually lossless compression of color images
Proceedings of SPIE (August 01 1990)
Optimized nonorthogonal transforms for image compression
Proceedings of SPIE (September 16 1994)
Forward rate control for MPEG recording
Proceedings of SPIE (October 22 1993)
Ray-tracing algorithm based on BRDF
Proceedings of SPIE (September 11 2013)

Back to Top