Image Denoising Techniques
Venkata Ranga Rao Kommineni1, Hemantha Kumar Kalluri2
1Venkata Ranga Rao Kommineni, Department of CSE, Vignan’s Foundation for Science, Research and Technology, Guntur (A.P), India.
2Hemantha Kumar Kalluri, Department of CSE, Vignan’s Foundation for Science, Research and Technology, Guntur (A.P), India.
Manuscript received on 14 February 2019 | Revised Manuscript received on 05 March 2019 | Manuscript Published on 08 June 2019 | PP: 417-419 | Volume-7 Issue-5S4, February 2019 | Retrieval Number: E10880275S419/19©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: Now-a-day’s Digital Image Processing assumes an indispensable job in our day by day works too. Quality of images plays a crucial role, for example in Medical field. Medical Fundus images are used for detecting eye related diseases. Primary objective of Denoising of an image is not only to remove noise but also to preserve the image details as many as possible. In this paper, the work focuses on various image denoising techniques and their efficiency is measured through various parameters like PSNR-Peak Signal Noise Ratio and MSE-Mean Square Error.
Keywords: De-Noising, Image Filtering, Mean Filter, Median Filters, Speckle Noise, Salt and Pepper Noise, and Gaussian Noise.
Scope of the Article: Signal and Image Processing