Абстрактный

Improve De-Noising Based on Singular Value Decomposition

Nidhal K. El Abbadi, Naseer R. M. AlBaka, Ghadeer Hakim

Noise is a random variation of image intensity and appear as grains in the image. There are many methods suggested for de-noising. One of them is filtering image by using singular value decomposition, this filter work well but did not remove all the noise in the color image. In this paper we suggested to improve the performance of this filter by combined it with suggested filter based on total least square value. The proposed algorithm tested with (Salt and pepper and Speckle noise) and different concentration of noise and gives promised results. Also proposed algorithm compared with other de-noising algorithms and the results were better.