文章基本信息

标题：Performance Analysis of Local Adaptive Real Oriented Dual Tree Wavelet Transform in Image Processing
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作者：Swati Khare ; Harshvardhan Mathur
期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2015
卷号：3
期号：1
DOI：10.15680/ijircce.2015.0301034
出版社：S&S Publications
摘要：De-noising is used to remove the noise from corrupted image, while retaining the edges and otherdetailed features as much as possible.. Filtering of these images is required to maximize the original content andsuppress the effect of noise generated from random source. In this paper, we have evaluated and comparedperformances of modified de-noising method and the local adaptive real oriented dual tree wavelet image de-noisingmethod. We have evaluated and compared performances of modified de-noising method and the local adaptive realoriented dual tree wavelet image de-noising method. These methods are compared with other based on PSNR (Peaksignal to noise ratio) between original image and noisy image and PSNR between original image and de-noised image.
关键词：De-noising Method; Thresholding; Dual Tree Wavelet Transform; Noise Modelling and Filter