Research Article | OPEN ACCESS
A Novel Algorithm for Image Denoising using Modified Adaptive Median Filter
1K. Venkatachalam and 2E. Mohan
1Department of ECE, Shri JJT University, Jhunjhunu, Rajasthan, India
2P.T. Lee Chengalvaraya Naicker College of Engineering and Technology, Oovery,
Kanchipuram, Tamilnadu, India
Research Journal of Applied Sciences, Engineering and Technology 2015 4:373-375
Received: September ‎13, ‎2014 | Accepted: October ‎17, 2014 | Published: June 05, 2015
Abstract
In this study a novel algorithm is proposed for image denoising using Modified Adaptive Median Filter (MAMF) on digital images. The proposed algorithm replaces the noisy pixel by trimmed median value when other pixel values, 0’s and 255’s are present in the selected window and when all the pixel values are 0’s and 255’s hence the noise pixel is replaced by mean value of all the elements present in the selected window. This proposed algorithm shows better results than the Standard Median Filter (SMF), Decision Based Algorithm (DBA). Different grayscale and color images are tested by using the proposed algorithm and found to produce better Peak Signal to Noise Ratio (PSNR).
Keywords:
Adaptive median filter, decision based algorithm, image denoising, standard median filter,
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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