NDLI: Image contrast enhancement by contourlet transform and PCNN

Content Provider	IEEE Xplore Digital Library
Author	WeiTao Zheng Tian Pu Jian Cheng Hu Zheng
Copyright Year	2012
Description	Author affiliation: School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu 611731 Chengdu, Sichuan, China (WeiTao Zheng; Tian Pu; Jian Cheng; Hu Zheng)
Abstract	We put forward a contourlet transform and PCNN based image enhancement algorithm in this paper. This method overcomes the traditional wavelet transform's deficiencies in sparse representing inseparable semantic details of images, such as multidirectional edges. Firstly the images are decomposed into multi-directional and multi-scale contour segments by the contourlet transform, the directions of the line-shaped discontinuity in the images are detected. Secondly, a new physiological enhancement function based on the pulse coupled neural networks (PCNN) is proposed to enhance the coefficients by contourlet transform. At last, we reconstruct the enhanced coefficients and obtain the enhanced results of the original images, in order to verify the effectiveness of this method, we compare it to conventional contrast enhancement methods, such as the histogram equalization. The results show that our contrast enhancement method is better than other in enhancing the directional line-shaped objects.
Starting Page	735
Ending Page	739
File Size	1348211
Page Count	5
File Format	PDF
ISBN	9781467301732
e-ISBN	9781467301749
DOI	10.1109/ICALIP.2012.6376711
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wavelet transforms Histograms Image edge detection Filter banks Image enhancement
Content Type	Text
Resource Type	Article

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