摘要： 提出一种基于误差信号峰度的自适应时变步长恒模医学CT图像盲均衡算法，通过降维处理将图像的恢复过程等效为一维盲均衡运算，构建行列等效变换的降维医学CT图像恒模盲均衡代价函数，利用误差信号峰度控制步长因子，加快算法的收敛速度。仿真结果表明，该算法能改善恢复效果，减小稳态剩余误差。

关键词: 盲均衡, 恒模算法, CT图像, 均方误差, 时变步长

Abstract: A novel adaptive variable step-size constant module medical CT image blind equalization algorithm is proposed. The process 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 is founded. The kurtosis of error signal is utilized as step-size control factor to speed up the convergence and improve the performance of the algorithm. Computer simulations show that the algorithm improves peak signal to noise ratio, restoration effects and efficiency of operations, decreases state residual error, and speeds up the convergence.

Key words: blind equalization, constant module algorithm, CT image, Mean Squared Error(MSE), variable step-size

中图分类号: 

• TP391