Dual-sensor foveated imaging system

Applied Optics
Hong Hua, Sheng Liu

Abstract

Conventional imaging techniques adopt a rectilinear sampling approach, where a finite number of pixels are spread evenly across an entire field of view (FOV). Consequently, their imaging capabilities are limited by an inherent trade-off between the FOV and the resolving power. In contrast, a foveation technique allocates the limited resources (e.g., a finite number of pixels or transmission bandwidth) as a function of foveal eccentricities, which can significantly simplify the optical and electronic designs and reduce the data throughput, while the observer's ability to see fine details is maintained over the whole FOV. We explore an approach to a foveated imaging system design. Our approach approximates the spatially variant properties (i.e., resolution, contrast, and color sensitivities) of the human visual system with multiple low-cost off-the-shelf imaging sensors and maximizes the information throughput and bandwidth savings of the foveated system. We further validate our approach with the design of a compact dual-sensor foveated imaging system. A proof-of-concept bench prototype and experimental results are demonstrated.

Citations

Jul 5, 2011·Journal of Biomedical Optics·Roy Chih Chung WangQiyin Fang
Apr 3, 2012·Journal of Biomedical Optics·Nathan Hagen, Tomasz S Tkaczyk
Mar 16, 2018·IEEE Transactions on Visualization and Computer Graphics·Takumi HamasakiMaki Sugimoto
Apr 1, 2019·The Review of Scientific Instruments·Zihan WangXianyue Kong
Oct 21, 2015·Optics Express·Xiaoyu DuLiping Xiao
Apr 16, 2016·Optics Letters·Guillem CarlesAndrew R Harvey
Oct 20, 2017·Applied Optics·Yajun NiuWeilin Chen
Mar 10, 2018·Applied Optics·Hongsheng WangSihui Li
May 14, 2020·Applied Optics·Jie CaoQun Hao
Nov 25, 2018·Optics Express·Guanjun TanShin-Tson Wu
Mar 2, 2017·Science Advances·Simon ThieleAlois M Herkommer
Apr 23, 2020·Sensors·Muhammad Firdaus SyawaludinJae-In Hwang
Jul 24, 2015·Biomedical Optics Express·Adam ShadfanTomasz Tkaczyk

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