A MATRIX-FREE RECONSTRUCTION METHOD FOR COMPRESSIVE FOCAL PLANE ARRAY IMAGING

被引:0
作者
Gungor, Alper [1 ]
Kar, Oguzhan Fatih [1 ]
Guven, H. Emre [1 ]
机构
[1] ASELSAN Res Ctr, Ankara, Turkey
来源
2018 25TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) | 2018年
关键词
Compressed Sensing; Computational Imaging; Alternating Direction Method of Multipliers; Focal Plane Array; Single Pixel Camera;
D O I
暂无
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
In this study, we propose a novel algorithm for compressive imaging using digital micromirror device (DMD) modulated focal plane array (FPA) data. In this setting, DMD modulates the scene in the image domain by blocking some of the pixels at a higher resolution level. For reconstruction, a regularized optimization problem is solved, whereas reconstruction time is crucial for a practical compressive sensing application. Here, we propose an augmented Lagrangian based method that employs sparsity in both Fourier and gradient spaces, where we apply a separate proximal mapping for each snapshot. We demonstrate the performance of the algorithm via comparison to the state-of-the-art. The proposed method yields higher pSNR at shorter convergence times, especially at higher compression ratios.
引用
收藏
页码:1827 / 1831
页数:5
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