Image Contrast Enhancement by Hybrid 3SAIHT and CLAHE Algorithm

Abstract:

Human visual perception is insensitive to certain shades of gray but can distinguish among 20 to 30 shades of gray under a given adaptation level. In this paper, we propose an image fusion pipeline that generates a high vision quality image by fusing the Three-Scale Adaptive Inverse Hyperbolic Tangent (3SAIHT) and the Contrast-Limited Adaptive Histogram Equalization (CLAHE) algorithms to increase detail and edge information. Fusion results are clearer and better with regard to display quality and contrast enhancement.

• Periodical: Applied Mechanics and Materials (Volumes 479-480)
• Pages: 870-877
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.479-480.870
• Online since: December 2013
• Authors: Cheng Yi Yu, Hsueh Yi Lin, Cheng Jian Lin
• Keywords: 3SAIHT, CLAHE, Image Contrast Enhancement, Image Fusion

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