Optimizing JPEG quantization matrices for different applications

Paul M. Farrelle; Sriram Venkatraraman

doi:10.1117/12.150944

27 August 1993 Optimizing JPEG quantization matrices for different applications

Paul M. Farrelle, Sriram Venkatraraman

Proceedings Volume 1961, Visual Information Processing II; (1993) https://doi.org/10.1117/12.150944
Event: Optical Engineering and Photonics in Aerospace Sensing, 1993, Orlando, FL, United States

Abstract

JPEG has already found wide acceptance for still frame image compression. The quantization matrices (QMs) play a critical role in the performance of the JPEG algorithm but there has been a lack of effective QM design tools. As a result, sub-optimal QMs have commonly been used and JPEG has been judged to be inappropriate for some applications. It is our contention that JPEG is even more widely applicable than `common knowledge' would admit. This paper describes a low-cost design tool that has been developed and is currently being successfully applied to design QMs for various sensors including IR, SAR, medical, scanned maps, and fingerprints.

Citation Download Citation

Paul M. Farrelle and Sriram Venkatraraman "Optimizing JPEG quantization matrices for different applications", Proc. SPIE 1961, Visual Information Processing II, (27 August 1993); https://doi.org/10.1117/12.150944

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