Impulse Noise Removal Using MDBUTMF with Histogram Estimation

被引：0
|
作者：
Bansal, Prateek [1 ]
Yadav, Himanshu [1 ]
Sunkaria, Ramesh Kumar [1 ]
机构：
[1] Dr BR Ambedkar Natl Inst Technol, Dept Elect & Commun Engn, Jalandhar, Punjab, India
来源：
2015 IEEE INTERNATIONAL ADVANCE COMPUTING CONFERENCE (IACC) | 2015年
关键词：
impulse noise; salt and pepper noise; histogram; median filter; adaptive median filter; MEDIAN FILTERS;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
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.
引用
收藏
页码：468 / 471
页数：4
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