A robust noise removal algorithm with consideration of contextual information

作     者：Chen, Qing-Qiang Chang, Chuan-Yu 

作者机构：Fujian Univ Technol Sch Informat Sci & Engn Fuzhou Peoples R China Natl Yunlin Univ Sci & Technol Dept Comp Sci & Informat Engn Touliu 64002 Yunlin Taiwan 

出 版 物：《MULTIDIMENSIONAL SYSTEMS AND SIGNAL PROCESSING》 (多维系统和信号处理)

年 卷 期：2016年第27卷第1期

页      面：179-200页

核心收录：

学科分类：0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Impulse noise Image denoising Contextual information Median filter 

摘      要：This paper analyzes an image noise model of additive positive and negative impulses that often appear in practical applications. Based on the characteristic that any pixel in an undisturbed image is similar to its neighbors, a local pixel correlation coefficient is proposed. For a pixel, based on the number of similar pixels in its neighborhood, the probability of whether it is noisy or normal can be accurately calculated. An adaptive masking weighted mean filter with consideration of contextual information is proposed to filter noise while retaining the edge details of the image. The proposed algorithm does not require any initial parameters or threshold values to be set. Experimental results show that the proposed algorithm is applicable to the proposed noise model and that the proposed noise filtering is significantly better than that of existing algorithms.