多线阵CCD亚像元成像超分辨率重构技术研究  

Research on super-resolution reconstruction of sub-pixel imaging in multiple linear array CCDs

作　　者：杨文波[1,2,3] 朱明[2] 马天伟[2] 陈东成[1,2,3] 王德江[2] 

机构地区：[1]中国科学院长春光学精密机械与物理研究所,中国科学院航空光学成像与测量重点实验室,吉林长春130033 [2]中国科学院长春光学精密机械与物理研究所,吉林长春130033 [3]中国科学院大学,北京100039

出　　处：《光电子．激光》2014年第6期1203-1212,共10页Journal of Optoelectronics·Laser

基　　金：国家自然科学基金(61203242,61308099)资助项目

摘　　要：为实现以多片线阵CCD亚像元成像为基础,提出一种超分辨率重构算法。首先,在高分辨率网格上建立插值模型;然后,辨识插值重构图像在线阵列方向和扫描方向的模糊核,得到整幅图像的模糊核;最后,采用带有Neumman边界条件(BCs)的梯度平滑Richard-Lucy(GSRL)滤波复原算法去除模糊,抑制了振铃效应。实验结果表明,用本文算法重构超分辨率图像的灰度平均梯度(GMG)值较双线性插值法提高了7.63,主观目视清晰、细节丰富;可以实现对多片线阵CCD亚像元成像的超分辨率重构,获取更高的系统分辨率。Without increasing the CCD pixels,the super-resolution reconstruction of sub-pixel imaging by increasing the temporal and spatial sampling frequencies in CCDs is one of the approaches to improve the system resolution.However,owing to the increase of sampling frequency,there exists aliasing in data collected by CCDs and blurring in a reconstructed high-resolution image,as a result of which the resolution is far away from the ideal value.To resolve the problem,an algorithm of super-resolution reconstruction,based on sub-pixel imaging achieved by multiple linear array CCDs,is put forward.First of all,an interpolation model on high-resolution grid is established.Next,blur kernels in an image with highresolution are identified in linear array and scanning direction,respectively to obtain the blur kernel in a frame.Last,the gradient smooth Richard-Lucy algorithm with Neumman boundary conditions is employed to deblur the image and the ringing effects are inhibited as well.Experimental results prove that the gray mean grade（GMG）of super-resolution images reconstructed with the algorithm compared with bilinear interpolation is improved by 7.63,which outperforms in both visual quality and details.Superresolution reconstruction of sub-pixel imaging in multiple linear array CCDs can be achieved by this algorithm to obtain higher system resolution.

关 键 词：多线阵CCD 亚像元成像 超分辨率重构 空间分辨率 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]