Methodical Technique for Denoise Salt & Pepper and Gaussian Noise in Gray Scale Image
P. Nandhakumar1, S. Dinesh Kumar2
1Nandhakumar P, M.Tech. Student, In Digital Communication Jecrc University Jaipur (Rajasthan), India.
2Dinesh Kumar S, Student. M.E, In Communication System KSR College of Engineering, Thiruchencode (Tamil Nadu), India.
Manuscript received on 15 August 2015 | Revised Manuscript received on 25 August 2015 | Manuscript Published on 30 August 2015 | PP: 185-188 | Volume-4 Issue-6, August 2015 | Retrieval Number: F4207084615/15©BEIESP
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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: In this paper, a adaptive technique for reduction of an salt & pepper noise and Gaussian noise using a filters. Noise can degrade the image at the time of capturing or transmission of the image. Before applying image processing tool to an image, noise removal from the image is done at highest priority. Median filters are preferred for removing salt & pepper noise because of their simplicity and less computational complexity and also Wiener filter was preferred for removing an Gaussian noise. Extensive Simulation have been carried out on gray scale images with median filter and Wiener filter. This paper presents the result of applying different noise type and various noise reduction techniques.
Keywords: Methodical Technique, Technique for Reduction
Scope of the Article: Emulation and Simulation Methodologies for IoT