通过与已知物体的相关性实现透过薄浑浊层的图像恢复。

Image restoration through thin turbid layers by correlation with a known object.

作者信息

He Hexiang, Guan Yefeng, Zhou Jianying

机构信息

State Key Laboratory of Optoelectronic Materials and Technologies, Sun Yat-sen University, Guangzhou 510275, China.

出版信息

Opt Express. 2013 May 20;21(10):12539-45. doi: 10.1364/OE.21.012539.

DOI:10.1364/OE.21.012539

PMID:23736472

Abstract

A method to recover the image of an object behind thin turbid layers is developed by wavefront shaping technique. The optimized wavefront is generated by modulating the scattering light of a known object with a spatial light modulator. A Pearson Correlation Coefficient is introduced as a cost function for the optimization. A beam scanning method based on optical memory effect is proposed to further enlarge the Field-of-View (FOV). The experimental results show good fidelity and large FOV of the recovered image.

摘要

通过波前整形技术开发了一种恢复薄浑浊层后物体图像的方法。通过空间光调制器调制已知物体的散射光来生成优化的波前。引入皮尔逊相关系数作为优化的代价函数。提出了一种基于光学记忆效应的光束扫描方法，以进一步扩大视场（FOV）。实验结果表明，恢复图像具有良好的保真度和较大的视场。