Design of a new filtering for the noise removing in images by fuzzy logic

Article type: Research Article

Authors: Azimirad, Ehsan | Haddadnia, Javad

Affiliations: Department of Electrical and Computer Engineering, Hakim Sabzevari University, Sabzevar, Iran

Note: [] Corresponding author. Ehsan Azimirad, Department of Electrical and Computer Engineering, Hakim Sabzevari University, Sabzevar, Iran. E-mail: [email protected]

Abstract: Removing noise from the color images is a very active research scope in image processing. In this paper, a new fuzzy based image filtering algorithm is proposed for reducing and removing impulse noise in color images. For dealing with the Impulse noise, an algorithm is developed to search for a set of uncorrupted pixels in the neighborhood of the pixel of interest and to compute the median of this set. A modified fuzzy filter consisting of two sub filters with novel membership functions is proposed to cancel out the impulse noise. The first sub filter detects the noisy pixel by utilizing three fuzzy membership functions, defined for this purpose. The corrupted pixels are then corrected using the median of the noise free pixels. The second sub filter makes use of the relation between different color components of a pixel to remove the residual noise in the color image. Simulation results shows that the proposed fuzzy filter effectively removes the additive noise by preserving fine details in the image.

Keywords: Impulse noise, fuzzy filter, reducing noise, median filter, membership functions

DOI: 10.3233/IFS-141473

Journal: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 4, pp. 1869-1876, 2015