Evolving matched forward and inverse transforms for improved lossy compression of images from mars

Author

Moore, Frank ; Babb, Brendan ; Aldridge, Shawn ; Peterson, Michael R.

Author_Institution

Math. Sci. Dept., Univ. of Alaska Anchorage, Anchorage, AK, USA

fYear

2011

fDate

9-12 Oct. 2011

Firstpage

484

Lastpage

489

Abstract

Space missions currently rely upon wavelet-based techniques for image compression and reconstruction. Recent research has established a methodology for using evolutionary computation to optimize image reconstruction transforms that outperform wavelets under lossy conditions. This paper describes new research that builds upon previous work by evolving matched filter pairs that outperform wavelets and previously evolved reconstruction transforms for lossy compression and reconstruction of images transmitted from deep space. The new transforms significantly reduce data loss due to quantization error for this class of images, while continuing to match the compression capabilities of wavelets.

Keywords

Mars; astronomical image processing; evolutionary computation; image coding; image reconstruction; inverse transforms; matched filters; quantisation (signal); wavelet transforms; Mars; data loss reduction; deep space image transmission; evolutionary computation; image reconstruction transform; inverse transforms; lossy image compression; matched filter pairs; matched forward transform; quantization error; space mission; wavelet-based technique; Image coding; Image reconstruction; Multiresolution analysis; Quantization; Training; Wavelet transforms; genetic algorithms; image compression; quantization;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man, and Cybernetics (SMC), 2011 IEEE International Conference on

Conference_Location

Anchorage, AK

ISSN

1062-922X

Print_ISBN

978-1-4577-0652-3

Type

conf

DOI

10.1109/ICSMC.2011.6083712

Filename

6083712