Salt and pepper noise detection algorithm based on directional median

2013 ◽  
Vol 32 (10) ◽  
pp. 2790-2792
Author(s):  
Jian CHEN ◽  
Shao-hua ZHENG
Keyword(s):  
Detection Algorithm ◽  
Salt And Pepper Noise ◽  
Noise Detection ◽  
Salt And Pepper

Adaptive Four-dot Median Filter for Removing 1-99% Densities of Salt-and-Pepper Noise in Images

2018 ◽  
Vol 11 (3) ◽  
pp. 47-61 ◽  
Author(s):  
Xin-Ming Zhang ◽  
Qiang Kang ◽  
Jin-Feng Cheng ◽  
Xia Wang
Keyword(s):  
Image Restoration ◽  
Performance Improvement ◽  
Adaptive Filtering ◽  
Median Filter ◽  
Window Size ◽  
Salt And Pepper Noise ◽  
Noise Detection ◽  
Median Filters ◽  
Simple Logic ◽  
Salt And Pepper

In order to accelerate denoising and improve the denoising performance of the current median filters, an Adaptive Four-dot Median Filter (AFMF) for image restoration is proposed in this article. AFMF is not only very efficient and fast in logic execution, but also it can restore the corrupted images with 1–99% densities of salt-and-pepper noise to the satisfactory ones. Without any complicated operation for noise detection, it intuitively and simply distinguishes impulse noises, while keeping the noise-free pixels intact. Only the uncorrupted pixels of the four-dot mask in adaptive filtering windows are used for the adoption of candidates for median finding, whatever filtering window size is. Furthermore, the adoption of recursive median filters leads to denoising performance improvement and faster filtering. The simple logic of the proposed algorithm obtains significant milestones on the fidelity of a restored image. Relevant experimental results on subjective visualization and objective digital measure validate the robustness of the proposed filter.

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.

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