| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 486250 | Procedia Computer Science | 2014 | 6 Pages |
Abstract
Noise removing from an image is an important task in different applications such as medical which the noise free images could leads to less error detection. Filtering as a tool for noise removal is concerned in this paper. The purpose is to compare the performance of five filters - Median Filter, Adaptive Median Filter, Mean Filter, Gaussian Filter and Adaptive Wiener filter- for de-noising from Gaussian noise, Salt & Pepper noise, Poisson noise and Speckle noise.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
