State-of-the-art lossy compression of Martian images via the CMA-ES evolution strategy

被引：0

作者：

Babb, Brendan ^{[1
]}

Moore, Frank ^{[1
]}

Aldridge, Shawn ^{[2
]}

Peterson, Michael R. ^{[3
]}

机构：

[1] Univ Alaska Anchorage, Dept Math Sci, Anchorage, AK 99508 USA

[2] Univ Southern Calif, Dept Comp Sci, Los Angeles, CA 90089 USA

[3] Univ Hawaii, Dept Comp Sci & Engn, Hilo, HI 96720 USA

来源：

VISUAL INFORMATION PROCESSING AND COMMUNICATION III | 2012年 / 8305卷

关键词：

image compression; evolution strategies; wavelets; quantization;

D O I：

10.1117/12.912162

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The research described in this paper uses the CMA-ES evolution strategy to optimize matched forward and inverse transform pairs for the compression and reconstruction of images transmitted from Mars rovers under conditions subject to quantization error. Our best transforms outperform the 2/6 wavelet (whose integer variant was used onboard the rovers), substantially reducing error in reconstructed images without allowing increases in compressed file size. This result establishes a new state-of-the-art for the lossy compression of images transmitted over the deep-space channel.

引用

页数：10