像素灰度值独立方程重构高分辨力图像  

High-resolution Image Reconstruction Based on Independent Equations of Pixel Grey Level

作　　者：郑臻荣[1] 郭功剑[1] 刘旭[1] 李海峰[1] 

机构地区：[1]浙江大学现代光学仪器国家重点实验室,杭州310027

出　　处：《光电工程》2009年第5期66-71,共6页Opto-Electronic Engineering

基　　金：国家重点基础研究发展计划(2009CB320803);国家高技术研究发展计划(2007AA01Z339)

摘　　要：为了提高图像空间分辨力,提出一种基于像素灰度值独立方程重构高分辨力图像的技术。采用机械微扫描法获取序列低分辨力图像,分析半像素错位的序列低分辨力图像与高分辨力图像各像素灰度值的对应关系,建立了高分辨力图像的像素灰度值独立方程,并利用像素灰度值独立方程重构高分辨力图像。仿真结果表明,相比于反演解析法,基于像素灰度值独立方程的重构算法把重构时间从秒级提高到毫秒级,为重建高分辨力视频信号奠定了基础。To improve spatial resolution of the image, a method for reconstructing high resolution image based on the independent equations of pixel grey level was proposed in this paper. An image sequence with low resolution was acquired through mechanical microscanning. The correspondence relationship of pixel grey level between the Image sequence with high resolution and the one with low resolution, which was acquired by displacing each time the image over the detector plane by a distance equal to half of the detector pitch, was analyzed. The independent equations of pixel grey level for high resolution images were set up, with which the high resolution image was reconstructed. Compared with other methods, results of simulation experiments show that the time taken in reconstruction with the algorithm is shortened from seconds to milliseconds. It lays the foundation for reconstructing super resolution video.

关 键 词：图像处理 高分辨力 图像重构 序列图像 

分 类 号：TN911.73[电子电信—通信与信息系统] TP391[电子电信—信息与通信工程]