Абстрактный

Image De-Noising Based on Simple Total Least Square

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.Image de-noising involves the manipulation of the image data to produce a visually high quality image. In this paper we suggested new filterfor de-noise based on simple total least square. The simple total least square is the process of finding the smallest difference between the square of pixel and the square of 8- neighbors pixels. The proposed algorithm tested with (Salt and pepper , Speckle, Gaussian and Poisson noise) with different concentration of noise and gives promised results. Also proposed algorithm compared with other de-noising algorithms and the results were better.