Performance Comparison of Various Filters for Removing Poisson Noise, Exponential Noise, Multiplicative Noise and Erlang Noise
Journal Title: International Journal of engineering Research and Applications - Year 2017, Vol 7, Issue 7
Abstract
In Digital images there are many possibilities that images are prone to variety of noises. Therefore image denoising is to be an essential part for image reconstruction process. Generally noise in image gets introduced during acquisition, transmission, reception and storage & retrieval processes. A detailed analysis of the various noises which corrupt an image is included in this paper. Removal of noises is done using various filters. To obtain significant results various filters have been proposed to remove these noises from images and finally which filter is most suitable to remove a particular noise is seen using various measurement parameters including Mean Square Error and Peak Signal to Noise Ratio.
Authors and Affiliations
Prashant Dwivedy, Anjali Potnis, Madhuram Mishra, Shahbaz Soofi
Keywords
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- EP ID EP391530
- DOI 10.9790/9622-0707013539.
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