摘要
介绍了一种基于多帧“差分”图像重建高分辨率图像技术,并从CCD数字化采样能量的角度分析了多幅低分辨率的“差分”图像与高分辨率图像各像素灰度值的对应关系,给出了通过图像“差分”技术提高探测图像分辨率的倍数与所需CCD最少数目之间的一般规律。最后,采用Matlab软件以一幅黑白条纹均匀分布的图像作为目标物,模拟了图像“差分”技术的实现过程,仿真结果表明了该技术的可行性。
A method about the reconstruction of the high-resolution image based on multi-frame low resolution difference-images was introduced. The relationship of the pixel gray-level between low resolution difference-images and corresponding high resolution image was obtained by analyzing the energy of CCD sampling. A general regularity between the enhanced times of the resolution of the detected figure by using difference method and the least count of CCD was given. In the end, the implementation process of utilizing difference-images technique to improve the resolution of the figure was simulated using Matlab software by taking a uniformly distributed black and white stripe image as the object. The result proves that the technique is available in high-resolution image reconstruction.
出处
《光电工程》
EI
CAS
CSCD
北大核心
2007年第6期88-91,96,共5页
Opto-Electronic Engineering
基金
国家自然科学基金资助项目(60575025)
关键词
图像处理
差分图像
像素灰度值
计算机仿真
CCD
Image processing
Difference-images
Pixel gray-level
Computer simulation
CCD
