Image Contrast Enhancement Using Gray-Level Grouping Based on the Just-Noticeable-Difference Model of the Human Visual System

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Please use this identifier to cite or link to this item: http://chur.chu.edu.tw/handle/987654321/31311

Title:	Image Contrast Enhancement Using Gray-Level Grouping Based on the Just-Noticeable-Difference Model of the Human Visual System
Authors:	李建興 Lee, Chang-Hsing
Contributors:	資訊工程學系 Computer Science & Information Engineering
Keywords:	image contrast enhancement;gray-level grouping;just-noticeable-difference
Date:	2012
Issue Date:	2014-06-27 01:25:34 (UTC+8)
Abstract:	In this paper, a gray-level grouping (GLG) approach exploiting the just-noticeable-difference (JND) model of the human visual system, denoted by JND-GLG, is proposed for image contrast enhancement. First, the JND model is employed to group similar gray va
Appears in Collections:	[Department of Computer Science and Information Engineering] Journal Articles

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