Modeling and Removing Noise under Statistical Distribution | ||
| Iraqi Journal of Information Technology | ||
| Article 1, Volume 7, Issue 2, April 2017, Pages 57-69 | ||
| Author | ||
| Alyaa Hashem Mohammed | ||
| Abstract | ||
| Noise is undesirable information in images. This noise occurs due to transmission errors, malfunctioning pixel elements in the camera sensors, faulty memory locations, and timing errors in analog-to-digital conversion. The researchers were developing several methods to remove these noises such as mean filter, median filter and etc…. in this research we propose a new method to remove the noise from images. In this research we will remove noise using traditional filters and then modeling the total signal image thus modeling the noise generated from the image under the statistical distribution (Multivariate Normal Distribution and Multivariate Poisson Distribution) in order to remove the noise by using the proposed algorithm. Finally, the performance of our proposal is measured by evaluating the MSE and PSNR values. | ||
| Keywords | ||
| Multivariate Poisson distribution; Multivariate Normal Distribution; PSNR; MSE | ||
|
Statistics Article View: 22 PDF Download: 5 |
||