Sorted Min-Max-Mean Filter for Removal of High Density Impulse Noise

  • Prity Kumari Dr. B.R. Ambedkar National Institute of Technology Jalandhar, Punjab, INDIA
  • Deepti Kakkar Dr. B.R. Ambedkar National Institute of Technology Jalandhar, Punjab, INDIA
  • Neetu Sood Dr. B.R. Ambedkar National Institute of Technology Jalandhar, Punjab, INDIA
Keywords: Impulse noise, Mean, Noise removal, MSE, PSNR, IEF

Abstract

This paper presents an improved Sorted-Min-Max-Mean Filter (SM3F) algorithm for detection and removal of impulse noise from highly corrupted image. This method uses a single algorithm for detection and removal of impulse noise. Identification of the corrupted pixels is performed by local extrema intensity in grayscale range and these corrupted pixels are removed from the image by applying SM3F operation. The uncorrupted pixels retain its value while corrupted pixel’s value will be changed by the mean value of noise-free pixels present within the selected window. Different images have been used to test the proposed method and it has been found better outcomes in terms of both quantitative measures and visual perception. For quantitative study of algorithm performance, Mean Square Error (MSE), Peak-Signal-to-Noise Ratio (PSNR) and image enhancement factor (IEF) have been used. Experimental observations show that the presented technique effectively removes high density impulse noise and also keeps the originality of pixel’s value. The performance of proposed filter is tested by varying noise density from 10% to 90% and it is observed that for impulse noise having 90% noise density, the maximum PSNR value of 30.03 dB has been achieved indicating better performance of the SM3F algorithm even at 90% noise level. The proposed filter is simple and can be used for grayscale as well as color images for image restoration.

Author Biographies

Prity Kumari, Dr. B.R. Ambedkar National Institute of Technology Jalandhar, Punjab, INDIA

I completed M.tech in the Department of Electronics and Communication Engineering at Dr. B R Ambedkar National Institute of Technology, Jalandhar in India. I have done B.tech from Amritsar College of Engineering and Technology, Amritsar, India. My research interests are Image Processing and Signal Processing.

Deepti Kakkar, Dr. B.R. Ambedkar National Institute of Technology Jalandhar, Punjab, INDIA

Deepti Kakkar works as assistant professor in the Department of Electronics and Communication Engineering at Dr. B R Ambedkar National Institute of Technology, Jalandhar in India since 2007. Her research interest includes Cognitive Radios, Signal Processing, Wireless Systems, Behavior Modelling, Neuro-developmental Disorders.

Neetu Sood, Dr. B.R. Ambedkar National Institute of Technology Jalandhar, Punjab, INDIA

Neetu Sood works as assistant professor in the Department of Electronics and Communication Engineering at Dr. B R Ambedkar National Institute of Technology, Jalandhar in India since 2007. Her research interest includes wireless communication system design, OFDM based systems, channel modelling & its simulations, Biomedical signal processing, Image Processing techniques and plant signalling.

Published
2019-06-25
How to Cite
Kumari, P., Kakkar, D., & Sood, N. (2019). Sorted Min-Max-Mean Filter for Removal of High Density Impulse Noise. Journal of Science and Technology, 11(1), 55-56. Retrieved from https://publisher.uthm.edu.my/ojs/index.php/JST/article/view/3861
Section
Articles