Title :
A Modified Weighted Based Filter for Removal of Random Impulse Noise (MWB)
Author :
Mandal, J.K. ; Sarkar, Aparna
Author_Institution :
Dept. of Comput. Sci. & Eng., Univ. of Kalyani, Kalyani, India
Abstract :
In this paper an effort has been made to device an algorithm for highly corrupted images. In this paper a novel Modified Weighted Based(MWB) filter has been proposed, which is based on the weighted differences between the current pixel and its neighbors aligned with four main directions. Simulations showed that the MWB filter provides optimal performances of suppressing impulse with high noise level which may enhance the performance in terms of removal of random-valued impulse noise compared to the directional weighted median (DWM) filter along with other filters like signal-dependent rank order mean (SDROM)filter, multistate median (MSM) filter, adaptive center weighted median (ACWM) filter, pixel-wise MAD(PWMAD) filter etc.
Keywords :
image denoising; impulse noise; median filters; random noise; adaptive center weighted median filter; directional weighted median filter; modified weighted based filter; multistate median filter; pixel-wise MAD filter; random impulse noise removal; signal-dependent rank order mean filter; Boats; Detectors; Image edge detection; Noise measurement; PSNR; Pixel; DWM; Median; Modified Weighted Based Filter (MWBF); PSNR; SNR;
Conference_Titel :
Emerging Applications of Information Technology (EAIT), 2011 Second International Conference on
Conference_Location :
Kolkata
Print_ISBN :
978-1-4244-9683-9
DOI :
10.1109/EAIT.2011.77
