文章基本信息

标题：An Efficient Image De-Noising Gaussian Noise Using Improved Anisodiffusion Filter with DWT in Medical Images
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作者：A. Karthiga Devi ; S.Yoga
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：2017
卷号：5
期号：3
页码：5242
DOI：10.15680/IJIRCCE.2017.0503293
出版社：S&S Publications
摘要：Image de-noising continues to be an active research topic. Although state-of-the-art de-noising methodsare numerically impressive and approach theoretical limits, they suffer from visible artifacts. However, the imagesobtained from medical imaging techniques (MRI, Ultrasound, CT etc.,) often include imaging noises. Therefore denoisingis an essential and used as a preprocessing process to remove their noises before extracting some meaningfulinformation from these images. In this paper presents an efficient de-noising technique based on Anisodiffusion filterwith Discrete Wavelet Transform (DWT) is developed. This proposed method enhances the edges in the de-noisedimage. The proposed method is tested with MRI, Ultrasound, and CT scan medical images. The performance of thismethod is compared with the existing standard filters and it has produced good result
关键词：Image de-noise; DWT; Anisodiffusion filter; Gradient