Fuzzy Rule Based Salt and Pepper Noise Removing in Gray Images

Nadeem Salamat *

Department of Mathematics and Statistics, Karakoram International University, Gilgit, Pakistan.

Malik Muhammad Saad Missen

Department of Computer Science, The Islamia University, Bahawlpur, Pakistan.

*Author to whom correspondence should be addressed.


Abstract

This paper presents the application of the diffusion equation for removing the salt & pepper noise in the field of image processing along with the fuzzy logic. The fuzzy logic differentiates the noisy pixels, especially the salt & pepper noise and the edges, then diffusion equation is applied to only noisy pixels and the diffusivity is proportional to the noise. The proposed method is applied to many test images. The simulated results demonstrate the effectiveness of the method based on statistical measures such as Mean Square Error (MSE) and Peak Signal Noise Ratio (PSNR) and Structure Similarity Index Measure (SSIM).

Keywords: The diffusion equation, salt & pepper noise, image denoising, fuzzy logic.


How to Cite

Salamat, Nadeem, and Malik Muhammad Saad Missen. 2014. “Fuzzy Rule Based Salt and Pepper Noise Removing in Gray Images”. Journal of Advances in Mathematics and Computer Science 6 (1):53-67. https://doi.org/10.9734/BJMCS/2015/14233.

Downloads

Download data is not yet available.