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28 December 1979 Heuristic Approach For Video Image Enhancement
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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.
© (1979) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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