Impulse noise removal using MDBUTMF with histogram estimation

Author

Bansal, Prateek ; Yadav, Himanshu ; Sunkaria, Ramesh Kumar

Author_Institution

Dept. of Electron. & Commun. Eng., Dr. B. R. Ambedkar Nat. Inst. of Technol., Jalandhar, India

fYear

2015

fDate

12-13 June 2015

Firstpage

468

Lastpage

471

Abstract

In this paper a novel and enhanced version of Modified Decision Based Unsymmetric Trimmed Median Filter (MDBUTMF) have been proposed for removing high density impulse noise from images. The MDBUTMF algorithm fails at high density noise. Hence a new algorithm is presented to remove high density noise. Histogram estimation technique is used to decide whether the processing pixel is noisy or noise free. Parameters like Mean Square Error (MSE) and Peak Signal to Noise Ratio (PSNR) are used to compare the filter with its previous versions. Simulation results show that the filter works better with high density noise and out performs MDBUTMF.

Keywords

image denoising; image filtering; impulse noise; mean square error methods; median filters; MDBUTMF algorithm; MSE; PSNR; high density impulse noise removal; histogram estimation; mean square error; modified decision based unsymmetric trimmed median filter; peak signal to noise ratio; Adaptation models; Filtering algorithms; Irrigation; Noise; Noise measurement; Switches; adaptive median filter; histogram; impulse noise; median filter; salt and pepper noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Advance Computing Conference (IACC), 2015 IEEE International

Conference_Location

Banglore

Print_ISBN

978-1-4799-8046-8

Type

conf

DOI

10.1109/IADCC.2015.7154752

Filename

7154752