摘要
基于序列图像重建的高分辨成像技术需要获取互有位移的序列图像,并需利用图像重建算法进行高分辨率图像重建。为此,设计了一种利用压电陶瓷体控制CCD位移来获取互有微小位移的序列图像的装置,在此基础上提出了一种基于梯度理论从序列图像重建高分辨率图像的算法——梯度解析法。该解析法根据图像灰度场梯度理论,同时考虑了图像的更高频成分,提高了重建图像分辨率。仿真实验显示,该算法与已有算法相比,重建图像的失真度降低40%以上。
High resolution imaging technology based on image reconstruction from image series is an effective approach to improve the resolution of digital imaging system. The acquisition of image series with displacements among each other and the reconstruction algorithm are two cores of high resolution image reconstruction. In the paper, a new image acquisition equipment which uses PZT (Piezoelectric Translator) to control the movement of CCD and a new algorithm named grads parse algorithm for image reconstruction are proposed. Based on the theory of grads, along with the consideration of high frequency, this algorithm enhances the resolution of the reconstructed image. Simulation results prove that the algorithm is over 40 percent more effective than the old ones.
出处
《光电工程》
EI
CAS
CSCD
北大核心
2005年第7期78-81,共4页
Opto-Electronic Engineering
关键词
图像重建
高分辨率成像
梯度解析法
压电陶瓷
CCD
Image reconstruction
High resolution imaging
Grads parse algorithm
Piezoelectric ceramic
