A region-based image enhancement algorithm with the Grossberg network

被引：0
|
作者：
Mi, Bo [1 ]
Wei, Pengcheng [1 ]
Chen, Yong [1 ]
机构：
[1] Chongqing Univ, Dept Comp Sci & Engn, Chongqing 400044, Peoples R China
来源：
ADVANCES IN NEURAL NETWORKS - ISNN 2006, PT 2, PROCEEDINGS | 2006年 / 3972卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In order to enhance the contrast of an image, histogram equalization is wildly used. With global histogram equalization (GHE), the image is enhanced as a whole, and this may induce some areas to be overenhanced or blurred. Although local histogram equalization (LHE) acts adaptively to overcome this problem, it brings noise and artifacts to image. In this paper, a region-based enhancement algorithm is proposed, in which Grossberg network is employed to generate histogram and extract regions. Simulation results show that the image is obviously improved with the advantage of both GHE and LHE.
引用
收藏
页码：545 / 550
页数：6
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