Ratio rule and homomorphic filter for enhancement of digital colour image

被引:137
作者
Seow, MJ [1 ]
Asari, VK [1 ]
机构
[1] Old Dominion Univ, Dept Elect & Comp Engn, Norfolk, VA 23529 USA
关键词
associative memory; ratio rule; homomorphic filter; colour image enhancement;
D O I
10.1016/j.neucom.2005.07.003
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Digital colour image enhancement using a homomorphic filter provides good dynamic range compression, but it fails in colour rendition. In this letter, we propose to perform natural colour rendition in a digital colour image that is enhanced by a homomorphic filter. A novel neural network learning algorithm, named Ratio rule, is used to carry out the natural colour rendition process. The Ratio rule learns to restore colour in an image by representing the colour relationships of each pixel in the original image as a line of attraction in the state space. The dynamics of the neural network is then used as an associative memory for recalling the natural colour characteristics of image pixels after homomorphic filtering. Several experiments oil benchmark problems show that the new technique of image enhancement can generate natural colour in images from their original colour information. (c) 2005 Elsevier B.V. All rights reserved.
引用
收藏
页码:954 / 958
页数:5
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