文章基本信息

标题：Denoising Gray Scale Images Using Curvelet Transform
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作者：Jasdeep Kaur ; Manpreet Kaur ; Jappreet Kaur 等
期刊名称：International Journal of Electronics Communication and Computer Engineering
印刷版ISSN：2249-071X
电子版ISSN：2278-4209
出版年度：2012
卷号：3
期号：3
页码：426-429
出版社：IJECCE
摘要：Digital images are generally of low contrast and they often have a complex type of noise due to various imperfections in acquisition, transmission storage and display devices and also because of application of different types of quantization, reconstruction and enhancement algorithms. The presence of noise gives an image a mottled, grainy, textured or snowy appearance. Image noise comes from a variety of sources. The goal of image denoising is to estimate the original image from noisy image. A number of methods have been developed for denoising of images but most of the methods causes blurring of images and introduces artifacts. In this paper a multiscale curvelet based denoising technique is presented. Image denoising using curvelet transform produce better results than other standard methods used for denoising images. Experimental results show that the Curvelet based method outperforms the median filter and order filter for reducing the additive noise in grayscale images
关键词：curvelet transform; denoising; fast discrete curvelet transform; hard thresholding; unequispaced curvelet transform