Somayaji Manjunath, Christensen Marc P, Faramarzi Esmaeil, Rajan Dinesh, Laine Juha-Pekka, Sebelius Peter, Zachai Arthur, Chaparala Murali, Blasche Gregory, Baldwin Keith, Ogunfemi Babatunde, Granquist-Fraser Domhnull
Department of Electrical Engineering, Southern Methodist University, Dallas, Texas 75275-0338, USA.
Appl Opt. 2012 Feb 1;51(4):A48-58. doi: 10.1364/AO.51.000A48.
The design, development, and field-test results of a visible-band, folded, multiresolution, adaptive computational imaging system based on the Processing Arrays of Nyquist-limited Observations to Produce a Thin Electro-optic Sensor (PANOPTES) concept is presented. The architectural layout that enables this imager to be adaptive is described, and the control system that ensures reliable field-of-view steering for precision and accuracy in subpixel target registration is explained. A digital superresolution algorithm introduced to obtain high-resolution imagery from field tests conducted in both nighttime and daytime imaging conditions is discussed. The digital superresolution capability of this adaptive PANOPTES architecture is demonstrated via results in which resolution enhancement by a factor of 4 over the detector Nyquist limit is achieved.
本文介绍了一种基于奈奎斯特极限观测处理阵列以制造薄型电光传感器（PANOPTES）概念的可见波段、折叠式、多分辨率、自适应计算成像系统的设计、开发和现场测试结果。描述了使该成像仪具有自适应能力的架构布局，并解释了确保在亚像素目标配准中实现精确性和准确性的可靠视场转向的控制系统。讨论了一种数字超分辨率算法，该算法用于从在夜间和白天成像条件下进行的现场测试中获取高分辨率图像。通过在探测器奈奎斯特极限之上实现4倍分辨率增强的结果，展示了这种自适应PANOPTES架构的数字超分辨率能力。
