Comparison of Noise Removal Techniques Using Bilateral Filter
نویسندگان
چکیده
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.
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