1 March 1991 Robust image coding with a model of adaptive retinal processing
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Proceedings Volume 1385, Optics, Illumination, and Image Sensing for Machine Vision V; (1991); doi: 10.1117/12.25351
Event: Advances in Intelligent Robotics Systems, 1990, Boston, MA, United States
Abstract
Object structure is one of the most important features for many imaging applications. In many applications in space recording the spatial structure adequately is a challenge due to the the wide range of illumination conditions encountered. Moreover communication constraints often limit the amount of data that can be transmitted. Motivated by these concerns we have developed a coding scheme which is robust to the variations in illumination conditions preserves high structural fidelity and provides high compression ratios. The high correlation between the original and decoded images demonstrates the potential of this coding scheme for machine vision applications.
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ramkumar Narayanswamy, Rachel Alter-Gartenberg, Friedrich O. Huck, "Robust image coding with a model of adaptive retinal processing", Proc. SPIE 1385, Optics, Illumination, and Image Sensing for Machine Vision V, (1 March 1991); doi: 10.1117/12.25351; https://doi.org/10.1117/12.25351
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KEYWORDS
Image compression

Optical filters

Reflectivity

Image processing

Image filtering

Image restoration

Computer programming

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