Title : 
A method for wide density salt and pepper noise removal
         
        
            Author : 
Qiao Jihong ; Chen Lei ; Chen Yan
         
        
            Author_Institution : 
Coll. of Comput. & Inf. Eng., Beijing Technol. & Bus. Univ., Beijing, China
         
        
        
            fDate : 
May 31 2014-June 2 2014
         
        
        
        
            Abstract : 
A new method for removal of wide density salt and pepper noise in image is proposed. Every pixel in a noise corrupted image is classified to which it is a noise pixel or noise-free pixel. A noise pixel should be modified by a filter. On the contrary, noise-free pixel is kept unchanged. If noise-free pixel is detected as noise pixel wrongly, the restored image will be blurred. The difference between the central pixel and its neighbors aligned with four directions in local window is used to detect noise. Then the noise pixel is replaced by a histogram weighted mean filtering value. Experimental results show that the proposed method can not only efficiently remove 10%~90% wide density salt-and-pepper noise, but also can well preserve the detail information of an image.
         
        
            Keywords : 
filtering theory; image classification; image denoising; image restoration; histogram weighted mean filtering value; noise corrupted image; noise-free pixel; wide density salt-and-pepper noise removal; Histograms; Image edge detection; Image restoration; Information filters; Noise; Histogram; Image denoising; Salt and pepper noise;
         
        
        
        
            Conference_Titel : 
Control and Decision Conference (2014 CCDC), The 26th Chinese
         
        
            Conference_Location : 
Changsha
         
        
            Print_ISBN : 
978-1-4799-3707-3
         
        
        
            DOI : 
10.1109/CCDC.2014.6852675