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

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題名:	Image Contrast Enhancement Using Gray-Level Grouping Based on the Just-Noticeable-Difference Model of the Human Visual System
作者:	李建興 Lee, Chang-Hsing
貢獻者:	資訊工程學系 Computer Science & Information Engineering
關鍵詞:	image contrast enhancement;gray-level grouping;just-noticeable-difference
日期:	2012
上傳時間:	2014-06-27 01:25:34 (UTC+8)
摘要:	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
顯示於類別:	[資訊工程學系] 期刊論文

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