Self-Adapted Layer Contrast Enhancement Algorithm Based on Medical Image

Yi He; Ying Qian Zhang

doi:10.4028/www.scientific.net/AMM.556-562.3416

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 556-562Self-Adapted Layer Contrast Enhancement Algorithm...

Self-Adapted Layer Contrast Enhancement Algorithm Based on Medical Image

Abstract:

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.

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Periodical:

Applied Mechanics and Materials (Volumes 556-562)

Pages:

3416-3419

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.556-562.3416

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Online since:

May 2014

Authors:

Yi He*, Ying Qian Zhang

Keywords:

Contrast Enhancement, Image Enhancement, Laplacian Pyramid, Layer Enhancement Factor, Sigmoid Function

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* - Corresponding Author

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