A new adaptive median filtering technique for removal of impulse noise from images

This paper describes a new technique for the design of Adaptive Median Filtering Technique, aimed at removing the impulse noise (salt and pepper noise) from the image and reducing distortion in the image. The filter is designed to reconfigure itself and provide real-time noise reduction. This paper investigates a high-speed non-linear Adaptive median filter implementation. Then Adaptive Median Filter serves the dual purpose of removing the impulse noise from the image and reducing distortion in the image. Adaptive Median Filtering can achieve the filtering operation of an image corrupted with impulse noise up to 70%.

[1]  Shen Xiaoliu,et al.  Image Denoising Using Weighted Averaging , 2009, 2009 WRI International Conference on Communications and Mobile Computing.

[2]  Rakhi C. Motwani,et al.  Survey of Image Denoising Techniques , 2004 .

[3]  Rajoo Pandey,et al.  An Improved Switching Median filter for Uniformly Distributed Impulse Noise Removal , 2008 .

[4]  M. Gabbouj,et al.  Optimal weighted median filters under structural constraints , 1993, 1993 IEEE International Symposium on Circuits and Systems.

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

[6]  Chinchen Chang,et al.  An Adaptive Median Filter for Image Denoising , 2008, 2008 Second International Symposium on Intelligent Information Technology Application.

[7]  D. Donoho,et al.  Translation-Invariant DeNoising , 1995 .

[8]  Leila Ghabeli,et al.  Image Denoising Using Hidden Markov Models , 2002, EurAsia-ICT.

[9]  Richard Szeliski,et al.  Automatic Estimation and Removal of Noise from a Single Image , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[10]  Shuyue Chen,et al.  A Nonlinear Filter Based on Row and Column Operation for Positive Impulsive Noise Reduction , 2009, 2009 Asia-Pacific Conference on Information Processing.

[11]  Anil K. Jain.  Fundamentals of Digital Image Processing , 2018, Control of Color Imaging Systems.

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

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

[14]  R. Jia,et al.  Applied and Computational Harmonic Analysis Convergence Analysis of the Bregman Method for the Variational Model of Image Denoising , 2022 .

[15]  Ramesh A. Gopinath,et al.  Wavelet based speckle reduction with application to SAR based ATD/R , 1994, Proceedings of 1st International Conference on Image Processing.

[16]  A. Ben Hamza,et al.  Removing Noise and Preserving Details with Relaxed Median Filters , 1999, Journal of Mathematical Imaging and Vision.

[17]  G. R. Suresh,et al.  Comparative Study on Speckle Noise Suppression Techniques for Ultrasound Images , 2009 .

[18]  Jaakko Astola,et al.  Optimal weighted median filtering under structural constraints , 1995, IEEE Trans. Signal Process..

[19]  Brendt Wohlberg,et al.  AN ℓ1-TV algorithm for deconvolution with salt and pepper noise , 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

[20]  Haidi Ibrahim,et al.  An Improved Progressive Switching Median Filter , 2009, 2009 International Conference on Future Computer and Communication.