An edge detection based noise removal algorithm

作     者：Ranjbaran, Ali Abu Hassan, Anwar Hasni Kheng, Eng Swee Ranjbaran, Bahar 

作者机构：Univ Sains Malaysia Sch Elect & Elect Engn Nibong Tebal 14300 Pulau Pinang Malaysia 

出 版 物：《COMPUTERS & ELECTRICAL ENGINEERING》 (计算机与电工)

年 卷 期：2014年第40卷第3期

页      面：769-784页

核心收录：

学科分类：0808[工学-电气工程] 08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：University of Southern Maine, USM Universiti Sains Malaysia 

主　　题：EDGE detection (Image processing) COMPUTER algorithms ELECTRIC noise SIGNAL denoising IMAGE analysis ELECTRIC filters 

摘      要：We present an image denoising method using the edge map of an image. The denoised image is considered as a linear combination of the observed image and its average value, where the coefficients are controlled by a local edge detector. The parameters are set on suitable values related to noise energy computed by the curvature norm of the original image. Implementation can be done in a single iteration and the speed of the process is reasonably high. Noise reduction quality of the introduced method is compared with Wiener and Total Variation based filters for some images. The method appears to be easy, fast and useful for very noisy images. The differences between our method and the patent 6229578 Edge Detection Based Noise Removal Algorithm are explained. (C) 2013 Elsevier Ltd. All rights reserved.