Analysis and Optimization of Aperture Design in Computational Imaging
Analysis and Optimization of Aperture Design in Computational Imaging
复制标题
计算成像孔径设计分析与优化
DOI：
10.1109/icassp.2018.8462521
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发表时间：
2017
期刊：
影响因子：
--
通讯作者：
G. Wornell
中科院分区：
文献类型：
--
作者：
Adam B. Yedidia;Christos Thrampoulidis;G. Wornell
对于将编码孔径成像系统用于各种应用的兴趣日益增长。使用基于互信息的分析框架，我们检查这样的系统的基本限制和相关的最佳孔径编码下简单但有意义的传播和传感器模型。在其他结果中，我们表明，当SNR是高的，热噪声占主导地位的散粒噪声，频谱平坦的掩模，其中有50%的transspectrum，是最佳的，但当散粒噪声占主导地位的热噪声，随机生成的掩模具有较低的transspectrum提供更大的性能。我们还提供了比较经典的针孔和镜头为基础的相机。
There is growing interest in the use of coded aperture imaging systems for a variety of applications. Using an analysis framework based on mutual information, we examine the fundamental limits of such systems-and the associated optimum aperture coding-under simple but meaningful propagation and sensor models. Among other results, we show that when SNR is high and thermal noise dominates shot noise, spectrally-flat masks, which have 50% transmissivity, are optimal, but that when shot noise dominates thermal noise, randomly generated masks with lower transmissivity offer greater performance. We also provide comparisons to classical pinhole and lens-based cameras.
影响因子：
5.4
作者：
Christos Thrampoulidis;Gal Shulkind;Feihu Xu;W. Freeman;J. Shapiro;A. Torralba;F. Wong;G. Wornell
通讯作者：
Christos Thrampoulidis;Gal Shulkind;Feihu Xu;W. Freeman;J. Shapiro;A. Torralba;F. Wong;G. Wornell