Image Contrast Enhancement by Contourlet Transform

E. Nezhadarya, M. Shamsollahi
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引用次数: 23

Abstract

We propose a new method for image contrast enhancement, based on a recently introduced 2D directional non-separable transform known as contourlet transform. Conventional 2D wavelet transform is separable and thus can not sparsely represent non-separable structures of the image, such as directional curves. The directionality feature of contourlet transform makes it a good choice for representation of curves and edges in the image. In this paper, a new enhancement function is proposed to enhance the edges by contourlet transform. The method is also compared with two usual contrast enhancement methods, histogram equalization and wavelet based contrast enhancement. It is shown that the contrast enhancement method based on contourlet transform is superior to both histogram equalization and the method based on wavelet transform, in both enhancement of fine structures in the image and denoising
Contourlet变换增强图像对比度
我们提出了一种新的图像对比度增强方法,基于最近引入的二维方向不可分离变换,即contourlet变换。传统的二维小波变换是可分离的,不能稀疏地表示图像中不可分离的结构,如方向曲线。轮廓波变换的方向性特征使其成为表示图像中曲线和边缘的一个很好的选择。本文提出了一种新的增强函数,利用contourlet变换增强图像的边缘。并与两种常用的对比度增强方法直方图均衡化和基于小波的对比度增强进行了比较。结果表明,基于contourlet变换的对比度增强方法在增强图像中的精细结构和去噪方面都优于直方图均衡化和基于小波变换的对比度增强方法
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