基于掩膜的光场采集与重建的研究  

Research of Lightfield Acquisition and Reconstruction Based on Mask

作　　者：刘永春[1] 龚华军[1] 沈春林[1] 

机构地区：[1]南京航空航天大学自动化学院,江苏南京210016

出　　处：《光学学报》2014年第8期105-110,共6页Acta Optica Sinica

基　　金：国家863计划(2012AA011903);江苏省研究生科研创新计划(CXLX13_158)

摘　　要：针对现有光场采集方式中存在的:相机阵列采集方式的硬件成本高,体积庞大;单相机分时采集光场局限采集静态光场;积分成像光场采集得到的光场空间分辨率低等问题。研究了一种基于掩膜(mask)的光场采集与重建方法。建立了光场采集模型,分析了光场在傅里叶域的成像过程;采用了随机衰减掩膜mask对光场信号进行随机编码,得到了被编码的传感器图像;离线学习了过完备光场字典,结合压缩感知理论对编码的传感器图像进行了非线性优化,重新恢复了原始的光场。In view of the existed problems of the existing light field acquisition methods： high hardware cost and big volume in camera array acquisition; to be limited to static light field in single camera ordinal sampling; low spatial resolution of the light field in integral imaging light field acquisition. A method of light field acquisition and reconstruction based on a mask has been studied. A light field acquisition model is set up. Light field imaging process is analyzed in Fourier domain. Utilizing a random mask to randomly encode the light field, which leads to get a coded sensor image. An overcomplete light-field dictionary is learned offline. The coded sensor image is optimized through compressed sensing and the overcomplete light-field dictionary. The original light field is restored.

关 键 词：图像处理 光场 重建 非线性优化 光学掩膜 

分 类 号：O438[机械工程—光学工程]