摘要
为了改善图像的峰值信噪比,提高算法的可靠性和恢复效果,利用线性变换将图像的恢复过程等效为一维盲均衡运算,建立了医学CT图像约束恒模代价函数,并分析了其凸性,提出一种基于信号降维处理的医学CT图像盲均衡算法。仿真结果验证了算法的有效性,新算法的迭代过程避免了矩阵逆运算,提高了运算效率。
In order to improve the Peak Signal-to-Noise Ratio(PSNR) of images,and to raise the reliability and restoration effects of the algorithm,the degradation and restoration process of image was transformed by a linear transform to be equivalent to one dimensional convolution.A constraint constant modulus cost function of blind equalization applied to medical CT images was founded,and its convexity was proved.A blind equalization algorithm based on dimension reduction was proposed.Computer simulations demonstrate the effectiveness of the algorithm.Matrix inversion is avoided to improve the efficiency of operations.
出处
《计算机应用》
CSCD
北大核心
2011年第6期1575-1577,共3页
journal of Computer Applications
基金
山西省科技攻关项目(20090321020)
天津商业大学青年科研培育基金项目
关键词
盲均衡
恒模算法
CT图像
代价函数
blind equalization
constant module algorithm
CT image
cost function