Comparative Analysis of Various 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. | : | 311-315 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Image Processing & Image De-noising plays a crucial role in copious applications. The image de-noisingtechnique is to improve both visual appearance & interpretability of an image & also provide better output which is usedin further application in other automated image processing techniques by suppressing the unwanted information (noise& blur). The proposed work compares different de-noising algorithms (such as Median Filter (MF), Decision BasedMedian Filter (DBMF), Progressive Switched Median Filter (PSMF), Un-trimmed Median Filter (UMF)) based on thevarious parameters such as PSNR (Peak Signal-to-Noise Ratio), MSE (Mean Square Error), IEF (Image EnhancementFactor), MAE (Mean Absolute Error). The result is preferred on grayscale as well as on colored images for differentnoise levels. From the results it is concluded that the UMF reduces the noise effectively
Deepti, Dr. Nipin Gupta, Dr. Pankaj Gupta, Dr.Deepak Goyal, “Comparative Analysis of Various denoising algorithms”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 8, pp. 311-315, August 2017.
