Perceptual image compression for data transmission on the battlefield

Jose Gerado Gonzalez; Mark J. T. Smith; Ingo Hontsch; Lina J. Karam; Kameswara Rao Namuduri; Harold H. Szu

doi:10.1117/12.316432

6 July 1998 Perceptual image compression for data transmission on the battlefield

Jose Gerado Gonzalez, Mark J. T. Smith, Ingo Hontsch, Lina J. Karam, Kameswara Rao Namuduri, Harold H. Szu

Proceedings Volume 3387, Visual Information Processing VII; (1998) https://doi.org/10.1117/12.316432
Event: Aerospace/Defense Sensing and Controls, 1998, Orlando, FL, United States

Abstract

This paper treats the compression of Synthetic Aperture Radar (SAR) imagery. SAR images are difficult to compress, relative to natural images, because SAR contains an inherent high frequency speckle. Today's state-of-the-art coders are designed to work with natural images, which have a lower frequency content. Thus, their performance on SAR is under par. In this paper we given an overview performance report on the popular compressions techniques, and investigate three approaches to improve the quality of SAR compression at low- bit rates. First, we look at the design of optimal quantizers which we obtain by training on SAR data. Second, we explore the use of perceptual properties of the human visual system to improve subjective coding quality. Third, we consider the use of a model that separates the SAR image into structural and textural components. The paper concludes with a subjective evaluation of the algorithms based on the CCIR recommendation for the assessment of picture quality.

Citation Download Citation

Jose Gerado Gonzalez, Mark J. T. Smith, Ingo Hontsch, Lina J. Karam, Kameswara Rao Namuduri, and Harold H. Szu "Perceptual image compression for data transmission on the battlefield", Proc. SPIE 3387, Visual Information Processing VII, (6 July 1998); https://doi.org/10.1117/12.316432

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