Abstract
Shannon’s theory of information is used to optimize the optical design of sensor-array imaging systems which use neighborhood image-plane signal processing, similar to the lateral inhibitory preprocessing in natural vision, for enhancing edges and compressing dynamic range during image formation. The resultant edge-enhancement, or bandpass-filter, response is found to be similar to that of (Marr’s model of) human vision. Comparisons of traits in natural vision with results from information theory suggest that image-plane processing can improve visual information acquisition for pattern recognition when resolving power, sensitivity, and dynamic range are constrained. The improvements that can be attained for constructing edge-enhanced images and primal sketches include reduced sensitivity to changes in light levels reduced data transmission, and reduced data processing.
© 1984 Optical Society of America
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