Performance comparison of various filters for removing different image noises
Prashant Dwivedy, Anjali Ashish Potnis, Shahbaz Soofi, Pooja Giri · 2017 International Conference on Recent Innovations in Signal processing and Embedded Systems (RISE) · 2017
Digital images are prone to a variety of noises. De-noising of image is an essential part of image reconstruction process. Noise gets introduced during acquisition, transmission, & reception and storage & retrieval processes. Hence de-noising an image becomes a fundamental task for correcting defects produced during these 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.