• Infrared and Laser Engineering
  • Vol. 49, Issue 8, 20201026 (2020)
Jie Cao1, Qun Hao1、*, Fanghua Zhang1, Huan Cui1, Mingyuan Tang1, Yang Cheng1, Kun Li1, Zedong Gao1, and Yami Fang2
Author Affiliations
  • 1Bionic Robot Key Laboratory of Ministry of Education, School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China
  • 2Shanghai Aerospace Control Technology Institute, Shanghai 201109, China
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    DOI: 10.3788/IRLA20201026 Cite this Article
    Jie Cao, Qun Hao, Fanghua Zhang, Huan Cui, Mingyuan Tang, Yang Cheng, Kun Li, Zedong Gao, Yami Fang. Research progress of bio-inspired retina-like imaging (Invited)[J]. Infrared and Laser Engineering, 2020, 49(8): 20201026 Copy Citation Text show less
    Passive bio-inspired retina-like image sensor
    Fig. 1. Passive bio-inspired retina-like image sensor
    Comparison between traditional and bio-inspired retina-like image sensors
    Fig. 2. Comparison between traditional and bio-inspired retina-like image sensors
    Target seeking based on space variant resolution
    Fig. 3. Target seeking based on space variant resolution
    Information extraction of the image depth
    Fig. 4. Information extraction of the image depth
    Improved bio-inspired retina-like structure and imaging
    Fig. 5. Improved bio-inspired retina-like structure and imaging
    Bio-inspired retina-like sensor based on non-uniform lens array
    Fig. 6. Bio-inspired retina-like sensor based on non-uniform lens array
    Implementation itemsCircuitOpticsSoftware
    PassiveActive
    Core methodNon-uniform pixelsNon-uniform scanning specklesVariable resolution design of optical componentsLogarithmic polar correlation algorithms
    Key featureCompression when sampling, high resolution in gaze imaging region +peripheral low resolution imaging samplingAchieve variable resolution with image sensorsCompressing after sampling
    AdvantagesGood real-time performance, high sensitivity and low data volumeAchieve local high resolution with good scalabilityStructures are simple and easy to connect with existing equipment
    DisadvantageNonuniform responseNo reduction in data volumePoor real-time performance
    DifficultyDifficultMediumMediumEasy
    Table 1.

    Comparison of implementation

    实现方式比较

    Jie Cao, Qun Hao, Fanghua Zhang, Huan Cui, Mingyuan Tang, Yang Cheng, Kun Li, Zedong Gao, Yami Fang. Research progress of bio-inspired retina-like imaging (Invited)[J]. Infrared and Laser Engineering, 2020, 49(8): 20201026
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