Impulse noise removal using MDBUTMF with histogram estimation
Prateek Bansal, Himanshu Yadav, Ramesh Kumar Sunkaria · 2015
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.