SAR image compression with the Gabor transform: a comparison of different quantizers and bit allocation methods

Robert A. Baxter; Michael Seibert

doi:10.1117/12.242053

10 June 1996 SAR image compression with the Gabor transform: a comparison of different quantizers and bit allocation methods

Robert A. Baxter, Michael Seibert

Author Affiliations +

Proceedings Volume 2757, Algorithms for Synthetic Aperture Radar Imagery III; (1996) https://doi.org/10.1117/12.242053
Event: Aerospace/Defense Sensing and Controls, 1996, Orlando, FL, United States

Abstract

The Gabor transform is a combined spatial-spectral transform that provides local spatial-frequency and orientation analyses in overlapping image neighborhoods. This paper describes a system for compressing detected SAR images based on the Gabor transform. The effects of different quantizer on subjective and computed measures of image quality are examined. We compare scalar, vector, and trellis-coded quantizers. Because the Gabor transform is non-orthogonal, conventional bit allocation methods which are optimal for orthogonal transforms are suboptimal for the Gabor transform. We compare bit allocation methods based on the distortion-rate function and alternative methods based on the spatial-frequency characteristics of the human visual system (HVS). Trellis-coded quantizers with HVS-based bit allocators yield the best performance.

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Robert A. Baxter and Michael Seibert "SAR image compression with the Gabor transform: a comparison of different quantizers and bit allocation methods", Proc. SPIE 2757, Algorithms for Synthetic Aperture Radar Imagery III, (10 June 1996); https://doi.org/10.1117/12.242053

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