De-Noising of Mango fruits using Mean Convolution Mass Filter (MCMF)
M. Renuka Devi1, Archana Tamizharasan2
1Dr. M. Renuka Devi , Professor & Head, Department of BCA, Sri Krishna Arts and Science College, Coimbatore, India.
2Ms. Archana Tamizharasan*, SCOPE, Vellore Institute of Technology (Deemed university), Vellore, India.
Manuscript received on 6 August 2019. | Revised Manuscript received on 11 August 2019. | Manuscript published on 30 September 2019. | PP: 3015-3018 | Volume-8 Issue-3 September 2019 | Retrieval Number: C4847098319/2019©BEIESP | DOI: 10.35940/ijrte.C4847.098319
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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: In this modern age transmission of visual information in the form of digital images are becoming a major method of communication. The noise is the result of errors in image acquisition process and they do not replicate the accurate intensities of the actual scene. This image can be utilized as an input for decision making. To produce high quality image it should be de-noised using suitable algorithm. There are various types of noises that degrades the image such as salt and pepper noise, Gaussian noise and Poisson noise, it is necessary to have knowledge about the noise present in the image. The paper proposed a new algorithm “Mean Convolution Mass Filter (MCMF)”. This approach has been proved to have better PSNR value in de-noising the digital image when compared to the other existing algorithms.
Keywords: Data Mining, Image processing, MCMF, Noise Removal
Scope of the Article: Microwave Filter