Abstract—An Impulse noise detection and removal with adaptive filtering approach is proposed to restore images corrupted by salt & pepper noise. The proposed algorithm works well for suppressing impulse noise with noise density from 5 to 60% while preserving image details. The difference of current central pixel with median of local neighborhood pixels is used to classify the central pixel as noisy or noise-free. The noise is attenuated by estimating the values of the noisy pixels with a switching based median filter applied exclusively to those neighborhood pixels not labeled as noisy. The size of filtering window is adaptive in nature, and it depends on the number of noise-free pixels in current filtering window. Simulation results indicate that this filter is better able to preserve 2-D edge structures of the image and delivers better performance with less computational complexity as compared to other denoising algorithms existing in literature.

Index Terms—Image denoising, impulse noise, nonlinear filter, switching median filter.

Er. Mamta Juneja is working with Department of Computer Science and Engineering as Assistant Professor in Rayat and Bahra Institute of Engineering and Bio-Technology, Sahauran, Distt. Mohali (Punjab)-140104 INDIA. er_mamta@yahoo.com,098786-77624
Dr. Parvinder S. Sandhu is working with Computer Science and Engineering Department as Professor and Head in Rayat and Bahra Institute of Engineering & Bio-Technology, Sahauran, Distt. Mohali (Punjab)-140104 INDIA

Cite: Mamta Juneja and Parvinder Singh Sandhu, "Design and Development of an Improved Adaptive Median Filtering Method for Impulse Noise Detection," International Journal of Computer and Electrical Engineering vol. 1, no. 5, pp. 627-630, 2009.