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10 June 1996 SAR image compression with the Gabor transform: a comparison of different quantizers and bit allocation methods
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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.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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