文章基本信息

标题：Improved Wavelet Threshold for Gray Scale Image Denoising
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作者：Liying Yuan ; Junfeng Wu ; Shuangquan Li 等
期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2014
卷号：7
期号：3
页码：45-52
DOI：10.14257/ijsip.2014.7.3.05
出版社：SERSC
摘要：During the image acquisition and communication the image is corrupted by noise. This is a classical problem in the field of signal or image processing. A new compromise threshold method that improves performance is presented, based on the standard compromise threshold method, yet more flexible and easier to treat mathematically. The improved adaptive wavelet compromise method avoids the discontinuity of the hard-threshold method, at the same time increase the correlation judgment process, improve image details loss problem. Simulation results show that the improved method is better at the adaptability, at the same time increase the correlation judgment process, improve image details loss problem.
关键词：wavelet transforms; threshold denoising; correlation; adaptive