智能系统学报2009，Vol.4Issue(2)：180-187,8.
受昆虫复眼系统启发的图像重构算法
Image reconstruction algorithm inspired by a bionic compound eye system
摘要
Abstract
Iterative back-projection algorithms based on pixel-rearrangement have been reported since thin observation modules using bound optical(TOMBO) systems were presented. However computational costs are high and the noise smoothing ability needs to be improved. So a normalized iterative back-projection algorithm was proposed to get reconstructed images for this system. Both an adaptive total variation normalized factor and a bilateral total variation normalized factor were employed to normalize the iterative back-projection algorithm. The former factor chose parameters adaptively according to present image information, so it could retrieve the high frequency components while smoothing noise. However, the latter factor determined the noise points according to nearest and next nearest neighborhood of pixels, in which more image information was considered so that it smoothed noises across boundaries. Also the latter factor accelerated the reconstructing process greatly. Experiments were based on bionic compound eye images. And the results demonstrated that the suggested method requires less time in image reconstruction.关键词
仿生复眼系统/超分辨率重构/迭代反投影算法/正则化Key words
bionic compound eye system/super-reconstruction/iterative back-projection (IBP)/normalization分类
信息技术与安全科学引用本文复制引用
李敏,徐立中,石爱业,黄凤辰..受昆虫复眼系统启发的图像重构算法[J].智能系统学报,2009,4(2):180-187,8.基金项目
National Natural Science Foundation of China (60774092, 60872096) （60774092, 60872096）
National High Technology Research and Development Program of China (2007AA11Z227) （2007AA11Z227）
Research Fund for the Doctoral Program of Higher Education of China (20070294027). （20070294027）
