Enhancement of Salt-and-Pepper Noise Corrupted Images Using Fuzzy Filter Design

This investigation presents a fuzzy filtering method for the removal of salt-and-pepper noise of a corrupted image which is caused by the corruption of impulse noise in the record or transmission process. This fuzzy filtering method comprise with a size adjustable local window which is used to analyze each extreme pixel (0 or 255 for an 8 bits gray-level image) and a fuzzy smoother which can interpolate non-extreme values inside the local window to construct a noiseless center pixel. By the help of the proposed fuzzy filtering method, the center pixel with an extreme value is replaced by the fuzzy interpolation value and enables noisy pixels to be restored smoothly and continuously. From the tough tests, experimental results reveal the fact that salt-and-pepper noises (only for known extreme values 0 and 255) of a corrupted image for different noise corruption densities (from 10 to 90%) can the efficiently removed via the universal interpolation ability of the proposed fuzzy filtering method; meanwhile, the denoised image is free from the blurred effect.

[1]  Nor Ashidi Mat Isa,et al.  Noise Adaptive Fuzzy Switching Median Filter for Salt-and-Pepper Noise Reduction , 2010, IEEE Signal Processing Letters.

[2]  Fang Li,et al.  A New Adaptive Weighted Mean Filter for Removing Salt-and-Pepper Noise , 2014, IEEE Signal Processing Letters.

[3]  Rachid Harba,et al.  A New Adaptive Switching Median Filter , 2010, IEEE Signal Processing Letters.

[4]  Yrjö Neuvo,et al.  Detail-preserving median based filters in image processing , 1994, Pattern Recognit. Lett..

[5]  Raymond H. Chan,et al.  Salt-and-pepper noise removal by median-type noise detectors and detail-preserving regularization , 2005, IEEE Transactions on Image Processing.

[6]  Yicong Zhou,et al.  A new weighted mean filter with a two-phase detector for removing impulse noise , 2015, Inf. Sci..

[7]  Pei-Yin Chen,et al.  An Efficient Edge-Preserving Algorithm for Removal of Salt-and-Pepper Noise , 2008, IEEE Signal Processing Letters.

[8]  Richard A. Haddad,et al.  Adaptive median filters: new algorithms and results , 1995, IEEE Trans. Image Process..

[9]  Xudong Jiang,et al.  Weighted Iterative Truncated Mean Filter , 2013, IEEE Transactions on Signal Processing.

[10]  Yu-Jin Zhang,et al.  A Highly Effective Impulse Noise Detection Algorithm for Switching Median Filters , 2010, IEEE Signal Processing Letters.

[11]  David Zhang,et al.  A salt & pepper noise filter based on local and global image information , 2015, Neurocomputing.

[12]  Yan Yang,et al.  Robust Impulse Noise Variance Estimation Based on Image Histogram , 2010, IEEE Signal Processing Letters.

[13]  Swagatam Das,et al.  Removal of High-Density Salt-and-Pepper Noise in Images With an Iterative Adaptive Fuzzy Filter Using Alpha-Trimmed Mean , 2014, IEEE Transactions on Fuzzy Systems.

[14]  Shuqun Zhang,et al.  A new impulse detector for switching median filters , 2002, IEEE Signal Processing Letters.

[15]  Eero P. Simoncelli,et al.  Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.

[16]  Kai-Kuang Ma,et al.  Tri-state median filter for image denoising , 1999, IEEE Trans. Image Process..

[17]  Yiqiu Dong,et al.  A New Directional Weighted Median Filter for Removal of Random-Valued Impulse Noise , 2007, IEEE Signal Processing Letters.

[18]  Ching-Ta Lu,et al.  Denoising of salt-and-pepper noise corrupted image using modified directional-weighted-median filter , 2012, Pattern Recognit. Lett..

[19]  Yong Cheng,et al.  Modified directional weighted filter for removal of salt & pepper noise , 2014, Pattern Recognit. Lett..

[20]  Jerry D. Gibson,et al.  Handbook of Image and Video Processing , 2000 .