A Novel Medical Image Blind Equalization Algorithm

A novel adaptive variable step-size constant module medical CT image blind equalization algorithm was proposed. The proposed algorithm overcomes the shortcoming of conventional constant module blind equalization algorithm with the fixed iteration step-size. The processing of image restoration transformed by a linear operation is equivalent to one dimensional blind equalization. The constant modulus blind equalization cost function applied to medical CT image was founded. The mean square error was utilized as step-size control factor to speed up the convergence and improve the performance of the algorithm. Computer simulations show that new algorithm improves peak signal to noise ratio, restoration effects and efficiency of operations, and decrease state residual error. 2012 Published by Elsevier B. V. Selection and/or peer review under responsibility of American Applied Science Research Institute