基于压缩感知的稀疏相机阵列光场采集与恢复

Light field acquisition and restoration from sparse camera array based on compressive sensing

针对积分成像光场采集与基于掩膜的压缩光场成像中空间分辨率低和视场角小,以及稠密相机阵列光场采集中硬件成本高的问题,提出一种基于压缩感知的稀疏相机阵列光场采集与恢复方法。将压缩感知理论运用到稀疏相机阵列的光场恢复中,从稀疏的相机阵列光场拍摄中恢复稠密的光场。分别采用滑动窗口和直接分块窗口两种方法进行光场的恢复,实验结果从1×5的稀疏光场中恢复了1×24的稠密光场,并对实验结果进行了分析。

In view of the existing problems of low spatial resolution and small field of view in integral im- aging light field acquisition and compressive light field imaging based on mask, high hardware cost in camera array acquisition. In this paper,a method of light field acquisition and restoration based on com- pressive sensing from sparse camera array has been studied. Compressive sensing is applied to dense light field restoration from sparse light field viewpoints which are captured by camera array. Two methods of sliding window and distinct window are used for light field restoration. The dense light field is restored from the sparse light field. Finally,the results are analyzed.