Development of Salt-and-Pepper denoising techniques

This paper proposes various customized methods to remove Salt and Pepper noise from the noisy image. Adaptive filtering and edge preservation based techniques are proposed. Adaptive noise candidate detection is also employed. Proposed techniques preserves high frequency contents and prevents image blurring. Adaptive mean and median filters with variable window sizes are proposed. Techniques were designed to achieve restoration of about 80% of highly corrupted images with the PSNR improvement of 4-25 dB. Techniques developed are of low complexity.

[1]  Sung-Jea Ko,et al.  Center weighted median filters and their applications to image enhancement , 1991 .

[2]  Guoqing Li,et al.  Improved switching median filter for removing impulse noise from the image of the welded joint , 2012, 2012 5th International Congress on Image and Signal Processing.

[3]  Ioannis Pitas,et al.  Nonlinear Digital Filters - Principles and Applications , 1990, The Springer International Series in Engineering and Computer Science.

[4]  Mila Nikolova,et al.  Regularizing Flows for Constrained Matrix-Valued Images , 2004, Journal of Mathematical Imaging and Vision.

[5]  Kai-Kuang Ma,et al.  Noise adaptive soft-switching median filter , 2001, IEEE Trans. Image Process..

[6]  J. Astola,et al.  Fundamentals of Nonlinear Digital Filtering , 1997 .

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

[8]  H. N. Nagaraja,et al.  Order Statistics, Third Edition , 2005, Wiley Series in Probability and Statistics.

[9]  Jyh-Charn Liu,et al.  Selective removal of impulse noise based on homogeneity level information , 2003, IEEE Trans. Image Process..

[10]  Youlun Xiong,et al.  Impulse Noise Removal Using Directional Difference Based Noise Detector and Adaptive Weighted Mean Filter , 2009, IEEE Signal Processing Letters.

[11]  D. R. K. Brownrigg,et al.  The weighted median filter , 1984, CACM.

[12]  T. Nodes,et al.  The Output Distribution of Median Type Filters , 1984, IEEE Trans. Commun..

[13]  Ja-Chen Lin,et al.  Minimum-maximum exclusive mean (MMEM) filter to remove impulse noise from highly corrupted images , 1997 .

[14]  Kai-Kuang Ma,et al.  A switching median filter with boundary discriminative noise detection for extremely corrupted images , 2006, IEEE Trans. Image Process..

[15]  Rafael C. González,et al.  Digital image processing using MATLAB , 2006 .

[16]  E. L. Lehmann,et al.  Theory of point estimation , 1950 .

[17]  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.