Review of denoising algorithms
| Author(s) | : | Deepti, Dr. Nipin Gupta, Dr. Pankaj Gupta, Dr.Deepak Goyal |
| Institution | : | Vaish College of Engineering |
| Published In | : | Vol. 4, Issue 8 — August 2017 |
| Page No. | : | 306-310 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
The noise will affect an image from a variety of sources through various paths present in the nature, so theimage restoration is needed. The main goal of image restoration tech. is the removal of noise from an image where the"original" image is perceptible. This paper presents an overview of filtering techniques, image noise models and acomparison of different filters (MF, UMF, DBMF, PSMF) for gray-scaled as well as colored images of different formatat different noise variance through visually & also based on the calculations of mean square error, peak signal to noiseratio, image enhancement factor, mean absolute error. Thus the results show that the UMF filter preserved the features,information & as well provide smoothness by removing the FVIN from the image. Its performance is better than the othernon-linear filters at very high noise variance.
Deepti, Dr. Nipin Gupta, Dr. Pankaj Gupta, Dr.Deepak Goyal, “Review of denoising algorithms”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 8, pp. 306-310, August 2017.
