Robust Multiple Reblurred-Based CT Image Enhancement
Ruihua Liu *
School of Mathematics and Statistics, Chongqing University of Technology, Chongqing, 400054, China.
Yijie Chen
Radiation Department, Zhengzhou First People's Hospital, Henan, 450000, China.
Jian wei
School of Mathematics and Statistics, Southwest University, Chongqing, 400715, China.
*Author to whom correspondence should be addressed.
Abstract
In this paper, we present a new algorithm for solving the blind deconvolution problem. In our method, we reblur a given degraded CT image with R different, but known PSFs, and get R different degraded CT images. Then we blindly deblur using the R new degraded CT images. Also, we introduce Bilateral Total Variation regularization term. In computer simulations in Matlab, it is the most advantages of our proposed algorithm that it performs more effectively than M. Jiang’s ENR method.
Keywords: Image enhancement, blind deconvolution, degraded image, reblurring