Open AccessDe-Noising of Mango fruits using Mean Convolution Mass Filter (MCMF)
Author(s) -
M. Renuka Devi,
Ms. Archana Tamizharasan*
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.c4847.098319
Subject(s) - median filter , salt and pepper noise , gaussian noise , computer science , noise (video) , artificial intelligence , image noise , computer vision , convolution (computer science) , filter (signal processing) , image (mathematics) , mathematics , pattern recognition (psychology) , image processing , artificial neural network
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