Heuristic Approach For Video Image Enhancement

James K. Chan; Curtis L. May; Andrew M. Chao

doi:10.1117/12.958225

28 December 1979 Heuristic Approach For Video Image Enhancement

James K. Chan, Curtis L. May, Andrew M. Chao

Proceedings Volume 0207, Applications of Digital Image Processing III; (1979) https://doi.org/10.1117/12.958225
Event: 23rd Annual Technical Symposium, 1979, San Diego, United States

Abstract

Video Image Enhancement through adaptive noise filtering and edge sharpening is presented. The basic concepts behind this technique are the fact that with some kind of image segmentation, noise filtering can be performed in the nearly uniform region and edge sharpening only near an edge. The resulting algorithm is nonlinear and adaptive. It adapts globally to the input SNR and locally to the gradient magnitude. Implementation is quite simple. Performance is nonlinear and depends on the SNR of the original image. Effective video signal-to-noise ratio can be improved with minimal observable contouring effect, degradation in spatial resolution, and other artifacts.

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James K. Chan, Curtis L. May, and Andrew M. Chao "Heuristic Approach For Video Image Enhancement", Proc. SPIE 0207, Applications of Digital Image Processing III, (28 December 1979); https://doi.org/10.1117/12.958225

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