Complex System Blind Equalization Algorithm for Equivalent Multichannel CT Image Restoration

The multichannel medical CT (Computed Tomography) image blind restoration has been recognized as one of the central problems in medical imaging. In this paper, a complex system blind equalization algorithm is used in the multichannel medical CT image blind restoration. The medical CT image was converted into a complex signal sequence in order to use the similarity between blurring image and generating inter-symbol interference. Inter-symbol interference can be eliminated by optimizing parameters of constant module cost function. The static and dynamic convergence behavior based on the independence assumption was analyzed. Simulation results and performance evaluations of recent image quality metrics are given in the following three parts: Peak Signal-to-noise ratio (PSNR), Improvement Signal-to-noise ratio (ISNR) and Mean Square Error (MSE). The usefulness and practicability are shown in simulation results.