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中国科学院 长春光学精密机械与物理研究所,吉林 长春,中国,130033
收稿日期:2011-03-18,
修回日期:2011-04-25,
网络出版日期:2011-12-20,
纸质出版日期:2011-12-20
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张元, 钟兴, 金光, 王天聪. 基于CCD阵列错排的图像差分超分辨重建方法[J]. 液晶与显示, 2011,26(6): 841-846
ZHANG Yuan, ZHONG Xing, JIN Guang, WANG Tian-cong. Super Resolution Reconstruction of Image Difference Based on CCD Staggered Arrays[J]. , 2011,26(6): 841-846
借助阵列错位排列技术通过将多条线阵CCD按特定方式错位排列
可以实现在不提高光学成像系统参数要求和减小CCD像元尺寸的前提下提高图像分辨率的目的
提出了一种利用4条线阵CCD的错排将图像两个方向分辨率均提高1.5倍的图像超分辨方法
利用循环方法解决了单次运算量大的问题。通过数字仿真实验验证了该方法的有效性
搭建了仿真成像平台进行实验。对鉴别率板的成像结果表明
图像分辨率近似提高为原始的1.42倍
与提高1.5倍的理想情况相差不大。同时
从图像所包含信息量的角度
利用图像的信息熵进行了评价
说明了重建后图像的信息量相对原始图像确有了提高。
The image resolution can be improved without increasing the requirement of optical imaging systems's parameters or decreasing the size of CCD pixel by staggered arrays technology
which arranges several CCDs in a specific mode.In this paper
an image super resolution method of improving the image resolution for 1.5 times both in two directions by 4 linear arrays staggered based on this technology was presented
which avoids the large computation in a single time by using circulation method. This method is proved effectively by the digital simulation
and a simulated experiment platform was constructed to test its feasibility. The image resolution is improved about 1.42 times of the unreconstructed image according to the imaging experiment of resolution chart
which is closed to 1.5 times in ideal case. Also
the reconstructed and unreconstructed images was evaluated by the image information entropy
which proves that the reconstructed image contains more information.
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