期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2012
卷号：46
期号：1
页码：031-036
出版社：Journal of Theoretical and Applied
摘要：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 and the iterative Richardson � Lucy algorithm, and implemented a mixture of these two techniques to process the CT medical images. The suggested technique is applied to medical images that are synthetically and naturally degraded by blur. Moreover, an evaluation between the proposed combination and each employed technique is provided, along with the accuracy calculation using the universal image quality index (UIQI).
关键词：Image Deblurring; Gaussian Blur; Computed Tomography (CT); Medical Image Processing; CT Degradations; Point Spread Function (PSF); Iterative Richardson � Lucy; Laplacian Sharpening Filter; Universal Image Quality Index (UIQI)
