Literature DB >> 30184937

Computational imaging enables a "see-through" lens-less camera.

Ganghun Kim, Rajesh Menon.   

Abstract

Conventional cameras obscure the scene that is being recorded. Here, we place an image sensor (with no lens) on the edge of a transparent window and form images of the object seen through that window. This is enabled first, by the collection of scattered light by the image sensor, and second, by the solution of an inverse problem that represents the light scattering process. Thereby, we were able to form simple images, and demonstrate a spatial resolution of about 0.1 line-pairs/mm at an object distance of 150mm with depth-of-focus of at least 10mm. We further show imaging of two types of objects: an LED array and a conventional LCD screen. Finally, we also demonstrate color and video imaging.

Year:  2018        PMID: 30184937     DOI: 10.1364/OE.26.022826

Source DB:  PubMed          Journal:  Opt Express        ISSN: 1094-4087            Impact factor:   3.894


  2 in total

1.  Optics-free imaging of complex, non-sparse and color QR-codes with deep neural networks.

Authors:  Soren Nelson; Evan Scullion; Rajesh Menon
Journal:  OSA Contin       Date:  2020-09-15

2.  Computational cannula microscopy of neurons using neural networks.

Authors:  Ruipeng Guo; Zhimeng Pan; Andrew Taibi; Jason Shepherd; Rajesh Menon
Journal:  Opt Lett       Date:  2020-04-01       Impact factor: 3.776

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.