摘要
针对数字成像系统无法提供精确亚像素精度图像的现状,提出了一种生成理想图像的方法,解决了亚像素定位算法评价过程中需要的高精度图像源问题.首先根据光学成像系统模型CCD采样理论以及圆孔衍射理论建立以二维高斯函数为核的点扩散函数(PSF);然后生成待测试的模拟量的理想边沿图像,将各个像素分割成N*N个子像素,以几何方法计算出各数字化的子像素;再将PSF作用于该图像得到确定边沿的数字理想图像.实验研究表明,与邻域平均方法相比,所提方法生成图像边沿过度平滑更接近实际物理成像.
Objective evaluation of subpixel algorithm accuracy and noise immunity requires sub-pixel accurate images,and digital optics imaging system is unable to provide accurate sub-pixel precision images.To solve this problem,the paper proposes a method of producing ideal image.Firstly,PSF has been established according to the principle of optics imaging system,CCD's sampling principle and Diffraction Theory.And then,a digitalized sub-pixel image of continues ideal image to be tested has been generated by dividing each pixel into N*N sub-pixels and each sub-pixel's value calculated by geometry method.Finally,the target ideal image with precision edge has been obtained by convolution PSF and the sub-pixel image.Experimental studies show that,compared with the average algorithm,field over the edge of the proposed method to generate an image closer to the actual physical image.
出处
《西南师范大学学报(自然科学版)》
CAS
北大核心
2016年第10期130-135,共6页
Journal of Southwest China Normal University(Natural Science Edition)
基金
中山市科技计划项目(x20123A353)
中山市社会公益科技研究专项资金项目(2015B2368)