Title :
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
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;
Conference_Titel :
Advance Computing Conference (IACC), 2015 IEEE International
Conference_Location :
Banglore
Print_ISBN :
978-1-4799-8046-8
DOI :
10.1109/IADCC.2015.7154752
