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Article

Super Field-of-View Lensless Camera by Coded Image Sensors

1
School of Engineering, Tokyo Institute of Technology, Kanagawa 226-8502, Japan
2
PRESTO, Japan Science and Technology Agency, Saitama 332-0012, Japan
3
Research Institute of Electronics, Shizuoka University, Shizuoka 432-8011, Japan
*
Author to whom correspondence should be addressed.
This paper is an extended version of our paper published in Nakamura, T.; Kagawa, K.; Torashima, S.; Yamaguchi, M. Lensless imaging by coded image sensors. In Proceedings of the 4th International Workshop on Image Sensors and Imaging Systems, Tokyo, Japan, 28–29 November 2018.
Sensors 2019, 19(6), 1329; https://doi.org/10.3390/s19061329
Received: 28 February 2019 / Revised: 12 March 2019 / Accepted: 12 March 2019 / Published: 16 March 2019
(This article belongs to the Special Issue Advanced CMOS Image Sensors and Emerging Applications)
A lensless camera is an ultra-thin computational-imaging system. Existing lensless cameras are based on the axial arrangement of an image sensor and a coding mask, and therefore, the back side of the image sensor cannot be captured. In this paper, we propose a lensless camera with a novel design that can capture the front and back sides simultaneously. The proposed camera is composed of multiple coded image sensors, which are complementary-metal-oxide-semiconductor (CMOS) image sensors in which air holes are randomly made at some pixels by drilling processing. When the sensors are placed facing each other, the object-side sensor works as a coding mask and the other works as a sparsified image sensor. The captured image is a sparse coded image, which can be decoded computationally by using compressive sensing-based image reconstruction. We verified the feasibility of the proposed lensless camera by simulations and experiments. The proposed thin lensless camera realized super-field-of-view imaging without lenses or coding masks and therefore can be used for rich information sensing in confined spaces. This work also suggests a new direction in the design of CMOS image sensors in the era of computational imaging. View Full-Text
Keywords: computational imaging; lensless camera; CMOS image sensor; compressive sensing computational imaging; lensless camera; CMOS image sensor; compressive sensing
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MDPI and ACS Style

Nakamura, T.; Kagawa, K.; Torashima, S.; Yamaguchi, M. Super Field-of-View Lensless Camera by Coded Image Sensors. Sensors 2019, 19, 1329. https://doi.org/10.3390/s19061329

AMA Style

Nakamura T, Kagawa K, Torashima S, Yamaguchi M. Super Field-of-View Lensless Camera by Coded Image Sensors. Sensors. 2019; 19(6):1329. https://doi.org/10.3390/s19061329

Chicago/Turabian Style

Nakamura, Tomoya, Keiichiro Kagawa, Shiho Torashima, and Masahiro Yamaguchi. 2019. "Super Field-of-View Lensless Camera by Coded Image Sensors" Sensors 19, no. 6: 1329. https://doi.org/10.3390/s19061329

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