Treeaporn Vicha, Ashok Amit, Neifeld Mark A
Department of Electrical and Computer Engineering, University of Arizona, Tucson, Arizona 85721, USA.
Appl Opt. 2012 Feb 1;51(4):A67-79. doi: 10.1364/AO.51.000A67.
Compressive imaging systems typically exploit the spatial correlation of the scene to facilitate a lower dimensional measurement relative to a conventional imaging system. In natural time-varying scenes there is a high degree of temporal correlation that may also be exploited to further reduce the number of measurements. In this work we analyze space-time compressive imaging using Karhunen-Loève (KL) projections for the read-noise-limited measurement case. Based on a comprehensive simulation study, we show that a KL-based space-time compressive imager offers higher compression relative to space-only compressive imaging. For a relative noise strength of 10% and reconstruction error of 10%, we find that space-time compressive imaging with 8×8×16 spatiotemporal blocks yields about 292× compression compared to a conventional imager, while space-only compressive imaging provides only 32× compression. Additionally, under high read-noise conditions, a space-time compressive imaging system yields lower reconstruction error than a conventional imaging system due to the multiplexing advantage. We also discuss three electro-optic space-time compressive imaging architecture classes, including charge-domain processing by a smart focal plane array (FPA). Space-time compressive imaging using a smart FPA provides an alternative method to capture the nonredundant portions of time-varying scenes.
压缩成像系统通常利用场景的空间相关性，以便相对于传统成像系统进行更低维度的测量。在自然时变场景中，存在高度的时间相关性，也可利用这一点进一步减少测量次数。在这项工作中，我们针对读取噪声受限的测量情况，使用卡尔胡宁 - 勒夫（KL）投影分析时空压缩成像。基于全面的模拟研究，我们表明基于KL的时空压缩成像仪相对于仅空间压缩成像具有更高的压缩率。对于10%的相对噪声强度和10%的重建误差，我们发现具有8×8×16时空块的时空压缩成像与传统成像仪相比可产生约292倍的压缩率，而仅空间压缩成像仅提供32倍的压缩率。此外，在高读取噪声条件下，由于复用优势，时空压缩成像系统产生的重建误差低于传统成像系统。我们还讨论了三种电光时空压缩成像架构类别，包括通过智能焦平面阵列（FPA）进行电荷域处理。使用智能FPA的时空压缩成像提供了一种捕获时变场景非冗余部分的替代方法。
