Self-Adapted Layer Contrast Enhancement Algorithm Based on Medical Image
Yi He, Yingqian Zhang · Applied Mechanics and Materials · 2014
the paper suggests a kind of self-adapted layer contrast enhancement algorithm for medical images, which, in reference to Laplacian pyramid function, could compose images, and enhance pixel contrast on each layer through F/E processing and use of self-adaptation Sigmoid function, and it uses layer enhancement factor to control the enhancement degree. The result shows that details of medical images can be displayed clearly with this algorithm without selecting characteristic center dimensions. It will not generate artifacts and thus improves visual effect of medical images.