Image enhancement based on the statistics of visual representation

被引：28
|
作者：
Huang, KQ
Wu, ZY
Wang, Q
机构：
[1] Chinese Acad Sci, Inst Automat, NLPR, Beijing 100080, Peoples R China
[2] SE Univ, Dept Radio Engn, Nanjing 210096, Jiangsu, Peoples R China
来源：
IMAGE AND VISION COMPUTING | 2005年 / 23卷 / 01期
基金：
美国国家科学基金会;
关键词：
image enhancement; visual representation; brightness; contrast;
D O I：
10.1016/j.imavis.2004.07.005
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper introduces a novel algorithm to image enhancement that exploits the multi-scale wavelet and statistical characters of visual representation. Processing includes the global dynamic range (brightness) correction and local contrast adjustment, whose parameters are picked automatically by the information contained in the image itself. Experimental results show that the new algorithm outperforms other many existing image enhancement methods and is highly resilient to the effects of both the image-source variations. (C) 2004 Elsevier B.V. All rights reserved.
引用
收藏
页码：51 / 57
页数：7
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