An efficient method for salt-and-pepper noise removal based on shearlet transform and noise detection

2015 ◽  
Vol 69 (12) ◽  
pp. 1823-1832 ◽  
Author(s):  
Chen Sun ◽  
Chen Tang ◽  
Xinjun Zhu ◽  
Xiaoyu Li ◽  
Linlin Wang
Keyword(s):  
Efficient Method ◽  
Noise Removal ◽  
Salt And Pepper Noise ◽  
Noise Detection ◽  
Shearlet Transform ◽  
Salt And Pepper

An Algorithm for Salt and Pepper Noise Removal Based on Information Entropy

2012 ◽  
Vol 220-223 ◽  
pp. 2273-2279
Author(s):  
Feng Zhao ◽  
Rui Chuan Ma ◽  
Jia Qing Ma
Keyword(s):  
Information Entropy ◽  
Detection Method ◽  
Noise Removal ◽  
Salt And Pepper Noise ◽  
Noise Detection ◽  
Statistical Property ◽  
Weighted Means ◽  
Mean Filter ◽  
Distribution Uniformity ◽  
Salt And Pepper

By using information entropy to estimate the distribution uniformity of the pixels with a same gray level, an accurate salt and pepper noise detection method is presented based on the statistical property of salt and pepper noise. And then, a new modified mean filter is designed, which sets up noise-centre filtering windows, Moreover, the weighted means are calculated by merely using the non-noise points in each filtering window. The presented filter can efficiently preserve the details of images, avoid the affection of noise points on the restore points, and reduce the dimness of the noise points. Experimental results show that this algorithm has the better performance on noise detection, noise filtering, and the protection of detail.

Salt and Pepper Noise Removal Based on GA-BP Algorithm

2011 ◽  
Vol 301-303 ◽  
pp. 1243-1248
Author(s):  
Yin Mao Song ◽  
Xiao Juan Li
Keyword(s):  
Noise Removal ◽  
Bp Algorithm ◽  
Salt And Pepper Noise ◽  
Noise Detection ◽  
Edge Preserving ◽  
Bp Network ◽  
Median Filters ◽  
Noise Filter ◽  
Noise Density ◽  
Salt And Pepper

Noise detection-based median filters have been widely adopted to reduce salt and pepper noise in images. However, since noise pixel is not detected accurately, it is likely to blur the fringe of image under the high noise density. In this paper, we propose an algorithm of salt and pepper noise filter which is based on GA-BP algorithm noise detector to remove the salt and pepper noise in images. The algorithm firstly detect the location of noise pixels by using optimized GA-BP network,then,it introduce edge-preserving function and PRP algorithm to solve the objective function of extreme value further to realize the image denoising. Compared with the traditional algorithms, experimental results show that the proposed algorithm has an evident improvement, and have good characters of generalization, robust and self-adaptive.

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