Preprint Article Version 1 This version is not peer-reviewed

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

Version 1 : Received: 27 February 2019 / Approved: 28 February 2019 / Online: 28 February 2019 (07:13:35 CET)

A peer-reviewed article of this Preprint also exists.

Nakamura, T.; Kagawa, K.; Torashima, S.; Yamaguchi, M. Super Field-of-View Lensless Camera by Coded Image Sensors. Sensors 2019, 19, 1329. Nakamura, T.; Kagawa, K.; Torashima, S.; Yamaguchi, M. Super Field-of-View Lensless Camera by Coded Image Sensors. Sensors 2019, 19, 1329.

Journal reference: Sensors 2019, 19, 1329
DOI: 10.3390/s19061329

Abstract

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 realizes 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.

Subject Areas

computational imaging; lensless camera; CMOS image sensor; compressive sensing

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