文章基本信息

标题：Thresholding Techniques for Image Denoising andTheir Comparison by Different Wavelets
本地全文：下载
作者：Malati Mazumder ; Md. Shahadat Hossain ; Md. Assaduzzaman 等
期刊名称：Current Journal of Applied Science and Technology
印刷版ISSN：2457-1024
出版年度：2018
卷号：28
期号：6
页码：1-15
语种：English
出版社：Sciencedomain International
摘要：Though the digital images are considered as the medium of transmitting visual information and crucial technique of modern communication, the obtained images sometimes may be corrupted by unexpected noise. However, these noisy images require further processing, which involves the manipulation of the image data to produce a visually high-quality image. In this paper, several thresholding techniques, namely SureShrink, VisuShrink and BayeShrink have been presented and the suitable one is determined. In addition, various noise models, for instance, Gaussian noise, salt and pepper noise and speckle noise, along with additive and multiplicative types have been utilized. The selection of the denoising algorithm being application dependent, it is crucial to have proper knowledge regarding the noise in each image for the purpose of selecting the appropriate algorithm. Typically, the wavelet-based approach finds applications in denoising images corrupted with Gaussian noise. Here the mean square error of the images has been determined as a quantitative measure.
关键词：Image denoising;DWT;SureShrink;VisuShrink;BayesShrink;Thresholding