Implementation of Novel Image Restoration Technique from High Density Impulse Noise through Adaptive Max-Min Filter
A. Sivakumar1, M. Shyam2, R.Sathya Vignesh3, J.Yogapriya4
1Mr. A. Sivakumar*, Assistant Professor, Department of ECE in R.M.K. Engineering College, Madras Institute of Technology, Anna University, Chennai.
2Mr. M. Shyam, Department of ECE in R.M.K. Engineering College. He has Graduated from Tagore Engineering College, Chennai, in Electronics and Communication Engineering, Madras Institute of Technology, Anna University, Chennai.
3Mr. R. Sathya Vignesh, Department of ECE in R.M.K. Engineering College. He has Graduated from Coimbatore Institute of Engineering and Technology, Coimbatore, in Electronics and Communication Engineering, Madras Institute of Technology, Anna University, Chennai.
4Mrs. J. Yogapriya, Programmer Analyst in Cognizent Technology Solutions, Chennai. He has Graduated from Dr. N.G.P. Institute of Technology, Coimbatore, in Electronics and Communication Engineering, Madras Institute of Technology, Anna University, Chennai.
Manuscript received on November 14, 2019. | Revised Manuscript received on 22 November, 2019. | Manuscript published on December 10, 2019. | PP: 2326-2328 | Volume-9 Issue-2, December 2019. | Retrieval Number: B7460129219/2019©BEIESP | DOI: 10.35940/ijitee.B7460.129219
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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: Noise is ardent factor that reduces the quality of any system, disturbing the corresponding output. This is very noticeable especially in image processing techniques, wherein the image output is distorted to a very large extent. To reduce the effect of noise and to improve the quality of any image, it is mandatory to completely remove high density salt-and-pepper impulse noise. The salt-and –pepper impulse noise is a major hindrance that has to be eliminated by restoring the image using a specialized method that applies to all noise pixels. Involving edge protection and noise control, significant improves image quality compared to those restored by using just a nonlinear filter. The significant feature of the proposed idea is that removal of salt-and-pepper-noise as high as 95%.is obtained.
Keywords: Impulse Noise, Order Statistics Filter, Edge Protection, Averaging, Mid-Point Filter
Scope of the Article: Image analysis and Processing