Applying the Hamiltonian algorithm to optimize JPEG quantization tables

Kazutaka Hirata; Jun-ichi Yamada; Kazumasa Shinjo

doi:10.1117/12.334576

22 December 1998 Applying the Hamiltonian algorithm to optimize JPEG quantization tables

Kazutaka Hirata, Jun-ichi Yamada, Kazumasa Shinjo

Proceedings Volume 3648, Color Imaging: Device-Independent Color, Color Hardcopy, and Graphic Arts IV; (1998) https://doi.org/10.1117/12.334576
Event: Electronic Imaging '99, 1999, San Jose, CA, United States

Abstract

Optimizing JPEG quantization tables is expected to transmit or store JPEG images. The Hamiltonian algorithm is one optimizing method and it can simultaneously optimize numerous parameters. JPEG quantization tables consists of 128 variables. We propose applying the Hamiltonian algorithm for optimizing JPEG quantization tables. The JPEG quantization tables, which are optimized by the Hamiltonian algorithm, can reduce the rate and improve the quality of a decoded JPEG image. This report describes a configuration of a JPEG quantization table optimizing system and the experimental result of using it.

Citation Download Citation

Kazutaka Hirata, Jun-ichi Yamada, and Kazumasa Shinjo "Applying the Hamiltonian algorithm to optimize JPEG quantization tables", Proc. SPIE 3648, Color Imaging: Device-Independent Color, Color Hardcopy, and Graphic Arts IV, (22 December 1998); https://doi.org/10.1117/12.334576

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