文章基本信息

标题：Comparison of Noise Removal Techniques Using Bilateral Filter
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作者：Manjeet Kaur ; Shailender Gupta
期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2016
卷号：9
期号：2
页码：433-444
DOI：10.14257/ijsip.2016.9.2.37
出版社：SERSC
摘要：This paper compares the standard Bilateral Filter and its variants such as Modified Bilateral Filter(MBF), Joint Bilateral Filter(JBF), Fuzzy Bilateral Filter(FBF) and Switching Bilateral Filter(SBF). For comparison purpose various performance matrices such as: Peak Signal to Noise Ratio(PSNR), Mean Square Error(MSE), Mean Absolute Error(MAE), Normalized Color Difference(NCD), Perceptual Quality and Time complexity are used . All the techniques are implemented using simulation in MATLAB-9. It is found that the standard BF is the best technique to remove Gaussian noise from images with high PSNR value. However when the image is corrupted with mixed Gaussian and impulse noise, SBF gives the best results of PSNR value, MSE value, MAE value , NCD value and a good picture quality of de-noised image.
关键词：Bilateral Filter; domain filtering; Gaussian noise; MAE; MSE; noise ; removal; PSNR; range filtering; sharpening; time complexity