An MSE (mean square error) based analysis of deconvolution techniques used for deblurring/restoration of MRI and CT Images

The image blurring is a common artifact effecting the image quality in terms of details. In medical imaging such image details play a very crucial role e.g. CT and MRI[7] scan images. There are many deconvolution techniques available like Wiener[1], RC Lucy[3] and Blind [4] etc. which help in restoration of blurred[12] images. In this paper, we are having a hands on experience with these deblurring techniques on some CT and MRI images. We are comparing the MSE (Mean Square Error) calculated from the output images of different deblurring techniques.