Frequency domain minimum error probability medical CT image blind equalization algorithm
Yunshan Sun1, 2, Liyi Zhang1, 2, Haiyan Zhang1
COMPUTER MODELLING & NEW TECHNOLOGIES 2014 18(4) 296-299
1 School of Electric Information Engineering, Tianjin University, Tianjin 300072, China
2 School of Information Engineering, Tianjin University of Commerce, Tianjin 300134, China
A frequency domain minimum error probability medical CT image blind equalization algorithm was proposed. Blind image equalization is implemented by minimizing a cost function consisting of estimated image and blur. The steepest descent method was adopted to solve the proposed cost function. Computer simulation experiments show that the new algorithm reduces mean square error and improves restoration effect, peak signal to noise ratio and improving signal to noise ratio.