Angular Light, Polarization and Stokes Parameters Information in a Hybrid Image Sensor with Division of Focal Plane

Targeting 3D image reconstruction and depth sensing, a desirable feature for complementary metal oxide semiconductor (CMOS) image sensors is the ability to detect local light incident angle and the light polarization. In the last years, advances in the CMOS technologies have enabled dedicated circuits to determine these parameters in an image sensor. However, due to the great number of pixels required in a cluster to enable such functionality, implementing such features in regular CMOS imagers is still not viable. The current state-of-the-art solutions require eight pixels in a cluster to detect local light intensity, incident angle and polarization. The technique to detect local incident angle is widely exploited in the literature, and the authors have shown in previous works that it is possible to perform the job with a cluster of only four pixels. In this work, the authors explore three novelties: a mean to determine three of four Stokes parameters, the new paradigm in polarization cluster-pixel design, and the extended ability to detect both the local light angle and intensity. The features of the proposed pixel cluster are demonstrated through simulation program with integrated circuit emphasis (SPICE) of the regular Quadrature Pixel Cluster and Polarization Pixel Cluster models, the results of which are compliant with experimental results presented in the literature.

[2]  Albert Wang,et al.  A Light-Field Image Sensor in 180 nm CMOS , 2012, IEEE Journal of Solid-State Circuits.

[3]  David San Segundo Bello,et al.  Integrated Polarization Analyzing CMOS Image Sensor for Material Classification , 2011, IEEE Sensors Journal.

[4]  David Fofi,et al.  Handy method to calibrate division-of-amplitude polarimeters for the first three Stokes parameters. , 2016, Optics express.

[5]  Viktor Gruev,et al.  Signal-to-noise analysis of Stokes parameters in division of focal plane polarimeters. , 2010, Optics express.

[6]  Qiyin Fang,et al.  CMOS imaging for biomedical applications , 2008, IEEE Potentials.

[7]  J. Scott Tyo,et al.  Review of visualization methods for passive polarization imaging , 2019, Optical Engineering.

[8]  Missael Garcia,et al.  Multichannel spectrometers in animals , 2018, Bioinspiration & biomimetics.

[9]  Zheng Chang,et al.  Sparse representation-based demosaicing method for microgrid polarimeter imagery. , 2018, Optics letters.

[10]  Lan-Rong Dung,et al.  A Wireless Narrowband Imaging Chip for Capsule Endoscope , 2010, IEEE Transactions on Biomedical Circuits and Systems.

[11]  Shoushun Chen,et al.  Polarization-Based Angle Sensitive Pixels for Light Field Image Sensors With High Spatio-Angular Resolution , 2016, IEEE Sensors Journal.

[12]  Giovanna Sansoni,et al.  State-of-The-Art and Applications of 3D Imaging Sensors in Industry, Cultural Heritage, Medicine, and Criminal Investigation , 2009, Sensors.

[13]  Gorden W. Videen,et al.  Enhanced facial recognition for thermal imagery using polarimetric imaging. , 2014, Optics letters.

[14]  Seong-Jin Kim,et al.  A Three-Dimensional Time-of-Flight CMOS Image Sensor With Pinned-Photodiode Pixel Structure , 2010, IEEE Electron Device Letters.

[15]  David Stoppa,et al.  Dual-Tap Computational Photography Image Sensor With Per-Pixel Pipelined Digital Memory for Intra-Frame Coded Multi-Exposure , 2019, IEEE Journal of Solid-State Circuits.

[16]  Xia Xiao,et al.  A Radar-Based Breast Cancer Detection System Using CMOS Integrated Circuits , 2015, IEEE Access.

[17]  G. Videen,et al.  Three-dimensional facial recognition using passive long-wavelength infrared polarimetric imaging. , 2014, Applied optics.

[18]  Shoushun Chen,et al.  Track-and-Tune Light Field Image Sensor , 2014, IEEE Sensors Journal.

[20]  H. Kwok,et al.  Optical wire-grid polarizers at oblique angles of incidence , 2003 .

[21]  D. Brady,et al.  Fabrication of thin-film micropolarizer arrays for visible imaging polarimetry. , 2000, Applied optics.

[22]  Shoji Kawahito,et al.  Single-event transient imaging with an ultra-high-speed temporally compressive multi-aperture CMOS image sensor. , 2016, Optics express.

[23]  Fei Hu,et al.  Polarization-based material classification technique using passive millimeter-wave polarimetric imagery. , 2016, Applied optics.

[24]  J Van der Spiegel,et al.  Polarization-based non-staining cell detection. , 2012, Optics express.

[25]  Ille C. Gebeshuber,et al.  Bio-Inspired Polarized Skylight-Based Navigation Sensors: A Review , 2012, Sensors.

[26]  Dawei Li,et al.  An Overlapping-Free Leaf Segmentation Method for Plant Point Clouds , 2019, IEEE Access.

[27]  Pratik Sen,et al.  Intrinsic coincident full-Stokes polarimeter using stacked organic photovoltaics. , 2017, Applied optics.

[28]  V. Gruev,et al.  Surface normal reconstruction using circularly polarized light. , 2015, Optics express.

[29]  Albert J. P. Theuwissen,et al.  Integrated polarization-analyzing CMOS image sensor for detecting incoming light ray direction , 2011, 2010 IEEE Sensors Applications Symposium (SAS).