An AIHT based Histogram Equalization Algorithm for Image Contrast Enhancement

Please use this identifier to cite or link to this item: http://ir.lib.ncut.edu.tw/handle/987654321/7250

Title:	An AIHT based Histogram Equalization Algorithm for Image Contrast Enhancement
Authors:	林學儀
Contributors:	資訊工程系
Date:	2012-10
Issue Date:	2018-05-24 09:41:35 (UTC+8)
Abstract:	Histogram Equalization (HE) is an effective technique for contrast enhancement. However, the traditional HE method usually results in extreme over-enhancement, which causes the unnatural look and visual artifacts in the processed image. To solve the problem, we propose a novel Modulated Histogram Equalization (MHE) image contrast enhancement algorithm based on Adaptive Inverse Hyperbolic Tangent (AIHT) algorithm. The AIHT has long been known that the Human Vision System (HVS) heavily depends on details and edges in understanding its perception of scenes. The new method is capable of doing image contrast enhancement adaptively and globally, while extruding the details of objects simultaneously. © Maxwell Scientific Organization, 2012. (11 refs)
Relation:	Research Journal of Applied Sciences, Engineering and Technology
Appears in Collections:	[Department of Computer Science and Information Engineering] 【資訊工程系所】期刊論文

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