Open AccessAnalysis of Fuzzy Based Directional Median Filter with Mixed Noise
Author(s) -
Bhageerath Singh Kaurav
Publication year - 2021
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2021.35454
Subject(s) - salt and pepper noise , median filter , dark frame subtraction , gaussian noise , pixel , computer science , peak signal to noise ratio , artificial intelligence , non local means , computer vision , noise (video) , mathematics , image (mathematics) , image processing
All the sources of digital images like camera as well as communication methods like wireless or wired communication leads to corruption of pixels of digital image. Usually digital image consists of values from 0 to 255 where 0 represents black pixel and 255 represents white pixel. Due to above sources and communication method, these pixels change there value which leads to change in the output values. Mixed noise is popular now a day which is a combination of Gaussian noise and salt & pepper noise. Median filters are popular in removing the noise from the digital images. Fuzzy based controllers are very popular now a day to solve issues better than others. In this paper, we have discussed fuzzy logic, median filter and directional median filter to remove the corrupted pixels out of digital image. Parameters like PSNR (Peak Signal to Noise Ratio) and MSE (Mean Square Error) are used for qualitative analysis of filter.