基于蒙特卡罗仿真的图像预处理方法研究

Research on Method for Preprocessing Image Based on Monte Carlo Simulation

针对实际光学系统中像差引起的图像失真,给出了一种有效补偿图像失真的预处理方法,使图缘获取高分辨率。根据物像共轭关系将物面划分为与图像传感器像素相对应的许多微小物元,应用蒙特卡罗方法仿真从每一物元发出的光在像面上形成的光分布,即点扩散函数。由所有物元的点扩散函数构成一个点扩散数组,数组的每一行对应一个物元的点分布。用点扩散数组建立描述像元与物元关系的线性方程组,进行数字仿真,结果得到接近实物的图像,补偿了图像失真问题。

Being directed at the image distortion resulting from the aberrations of actual optical system,a preprocessing method to compensate image distortion effectively is presented.According to the conjugate relation between the object and its image,the object plane was divided into many micro object elements that have one-to-one correspondence with the pixels of image sensor.Monte Carlo method has been used to simulate the light distribution on image plane made by the light from each object element,namely point spread function.A point spread array was constructed for all point spread functions of all elements,and each row of the array corresponds to the point spread of an object element.A linear system of equations was built on the basis of the point spread array to describe the relation between all object elements and all image pixels,and a lifelike image was obtained by solving the linear system of equations.