超分辨率图象重构技术的仿真实验研究  

Super-Resolution Image reconstruction and its Simulated Experiment

作　　者：刘良云[1] 李英才[1] 相里斌[1] 

机构地区：[1]中科院西安光机所空间室,西安710068

出　　处：《中国图象图形学报（A辑）》2001年第7期629-635,共7页Journal of Image and Graphics

基　　金：中国科学院西安光机所所长基金资助项目

摘　　要：CCD相机在对空间频率较丰富的景物进行成象时 ,由于 CCD象元尺寸的限制 ,图象分辨率低 ,混频现象有时很严重 ,红外相机尤其如此 .超分辨率图象重构技术利用多帧重复拍照图象的冗余信息 ,重构出超分辨率图象 ,消除和降低混频效应 .本文对图象微位移和微旋转角的精确估算算法、相机模型、超分辨率图象的重构算法等关键技术进行研究 ,设计了序列子集共轭梯度最优化算法 ,并提供了分辨率提高 5倍的算法和研究成果 .该项技术对于星载、机载图象融合 (特别是红外凝视成象系统获取的图象 )是十分有意义的 ,它将有可能将航天或航空图象的分辨率提高 2～Some imaging systems employ detector arrays that are not sufficiently dense to meet the Nyquist criterion during image acquisition. This is particularly true for infrared digital imagers. Therefore, the spatial resolution afforded by the optics can't be fully utilized in such imaging systems. This paper presents a new technique to reconstruct a high resolution image, with reduced aliasing, from a sequence of under sampled rotated and shifted frames of the same object. Firstly, the continuous and digital models of an imaging system are defined to explain image acquisition. Secondly, the image registration algorithm and the ordered subset conjugate gradient (OSCG) reconstruction algorithm are designed. Finally, Simulated experiment results are provided to test our algorithm, and we obtain the image whose resolution is 5 times high than the 25 under sampled frames. The results show that OSCG reconstruction algorithm is robust, rapid convergent, and memory saved.

关 键 词：亚象元 图象重构 超分辨率 图象配准 仿真 CCD相机 图象处理 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]