Applying the Hamiltonian algorithm to optimize JPEG quantization tables
Kazutaka Hirata, Jun-ichi Yamada, Kazumasa Shinjo · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1998
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.