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arXiv:1509.00116cs.CV

FlatCam: Thin, Bare-Sensor Cameras using Coded Aperture and Computation

M. Salman Asif, Ali Ayremlou, Aswin Sankaranarayanan, Ashok Veeraraghavan, Richard Baraniuk

Abstract

FlatCam is a thin form-factor lensless camera that consists of a coded mask placed on top of a bare, conventional sensor array. Unlike a traditional, lens-based camera where an image of the scene is directly recorded on the sensor pixels, each pixel in FlatCam records a linear combination of light from multiple scene elements. A computational algorithm is then used to demultiplex the recorded measurements and reconstruct an image of the scene. FlatCam is an instance of a coded aperture imaging system; however, unlike the vast majority of related work, we place the coded mask extremely close to the image sensor that can enable a thin system. We employ a separable mask to ensure that both calibration and image reconstruction are scalable in terms of memory requirements and computational complexity. We demonstrate the potential of the FlatCam design using two prototypes: one at visible wavelengths and one at infrared wavelengths.

arXiv comments
12 pages, 10 figures
Journal reference
DOI
Subjects
cs.CVComputer Vision and Pattern Recognition

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Linked by 2 identifiable commenters in 2 comments across 2 threads, from Nov 2015 to Dec 2015. Found in 1 HN submission from Feb 2016 to Feb 2016. Open submission discussions.

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    • tl;dr: Aperture coding, embedding a known pattern into a mask in front of the sensor, is used to make reconstruction possible. 512x512 image reconstruction currently takes 100ms. Link to the paper: http://arxiv.org/pdf/1509.00116v1.pdf

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