Abstract—This paper presents a comparison between LULU and Median filters for impulse noise in images. Noise removal from images is always a challenging area of research. Different methods are being used for different image noises such as Wiener filter for Gaussian noise, Frost filter for speckle noise and median filter for impulse noise. LULU filters are widely being used for impulse noise too. LULU filters are nonlinear rank selector operators which are computationally more competent and the performance of the operator is straightforward to describe. The comparison between Median and LULU filters, in this paper, is performed using two different image quality metrics which are RMSE and PSNR.

Index Terms—LULU filters, impulse noise, RMSE, PSNR.

R. Rahmat is with the Institute of Sensors, Signals and Systems, Heriot-Watt University, UK (e-mail: roushanakrahmat@gmail.com).
A. S. Malik is with the Mission Oriented Research Biomedical Technology at Universiti Teknologi Petronas.
N. Kamel is with the PETRONAS University of Technology.

 

Cite:R. Rahmat, A. S. Malik, and N. Kamel, "Comparison of LULU and Median Filter for Image Denoising," International Journal of Computer and Electrical Engineering vol. 5, no.6, pp. 568-571, 2013.