An Accession for Image Denoising by Multiple Filter and Correlative Examination for Random Impulse Noise
Shridevi Soma1, Jyoti S.G.2
1Dr. Shridevi Soma, presently as Professor in Department of Computer Science and Engineering, Poojya Doddappa Appa College of Engineering, Kalaburagi.
2Jyoti S.G., pursuing M.Tech. in Computer Science Engineering from Department of CSE at PDACE Kalaburagi , Karnataka, India.
Manuscript received on 15 August 2019. | Revised Manuscript received on 25 August 2019. | Manuscript published on 30 September 2019. | PP: 60-68 | Volume-8 Issue-3 September 2019 | Retrieval Number: C3936098319/19©BEIESP | DOI: 10.35940/ijrte.C3936.098319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Denoising an image is a significant problem in the processing of digital images. Any impulse noise damages the image and the aim of denoising is to remove noise and restore the high-quality image as much as possible. This paper aims to develop a method to discriminate between corrupted and uncorrupted pixels and develop a novel filter to denoise the image. It is also necessary to consider images with different level of noise of various applications to develop an optimal system to remove the noise for further processing. In this paper different filtering techniques such as Median-Filter (MF), Weighted -Median-Filter (WMF),Centre-Weighted Median filter (CWMF), and adaptive centre weighted median filter (ACWMF) are used for denoising, also a novel filter Asymmetric Trimmed Median Filter(ATMF) is designed which outperforms compared to the filters designed earlier. Experimentation is carried by considering the dataset size of 700 noisy images. The average PSNR value of proposed system is 28.12%(DB).
Keywords: MF, CWMF, ACWMF, WMF, ATMF, Impulse Noise. I
Scope of the Article: Image analysis and Processing