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Proceedings Paper

Applying the Hamiltonian algorithm to optimize JPEG quantization tables
Author(s): Kazutaka Hirata; Jun-ichi Yamada; Kazumasa Shinjo
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Paper 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.

Paper Details

Date Published: 22 December 1998
PDF: 8 pages
Proc. SPIE 3648, Color Imaging: Device-Independent Color, Color Hardcopy, and Graphic Arts IV, (22 December 1998); doi: 10.1117/12.334576
Show Author Affiliations
Kazutaka Hirata, ATR Adaptive Communications Research Labs. (Japan)
Jun-ichi Yamada, ATR Adaptive Communications Research Labs. (Japan)
Kazumasa Shinjo, ATR Adaptive Communications Research Labs. (Japan)


Published in SPIE Proceedings Vol. 3648:
Color Imaging: Device-Independent Color, Color Hardcopy, and Graphic Arts IV
Giordano B. Beretta; Reiner Eschbach, Editor(s)

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