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

fYear

2011

fDate

19-20 Feb. 2011

Firstpage

173

Lastpage

176

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Emerging Applications of Information Technology (EAIT), 2011 Second International Conference on

Conference_Location

Kolkata

Print_ISBN

978-1-4244-9683-9

Type

conf

DOI

10.1109/EAIT.2011.77

Filename

5734921