Reducing the Gaussian Blur Artifact from Ct Medical Images by Employing a Combination of Sharpening Filters and Iterative Deblurring Algorithms

@inproceedings{AlAmeen2012ReducingTG,
  title={Reducing the Gaussian Blur Artifact from Ct Medical Images by Employing a Combination of Sharpening Filters and Iterative Deblurring Algorithms},
  author={Zohair Al-Ameen and Ghazali Sulong and M. G. M. Johar},
  year={2012}
}
Obtained images through imaging systems are considered as degraded versions of the original view. Computed Tomography (CT) images have different types of degradations such as noise, blur and contrast imperfections. This paper handles the issue of deblurring CT medical images affected by Gaussian blur. Image deblurring is the procedure of decreasing the blur amount and grant the filtered image with an overall sharpened form. In this paper, the authors considered the Laplacian sharpening filter… CONTINUE READING