Computational photography with novel camera sensors

In this thesis, two computational camera designs are presented. They target two major goals in computational photography. high dynamic range (HDR) imaging and image superresolution (SR). HDR imaging refers to capturing both bright and dark details in the scenes simultaneously. A modulo camera does not get saturated during exposure, enabling HDR photography in a single shot without losing spatial resolutions. The second camera achieves image super-resolution with its non-conventional pixel design. It is shown that recording multiple images with a sensor of asymmetric sub-pixel layout increases the spatial sampling capability compared to a conventional sensor. Both proposed camera designs are the combination of novel imaging sensors and image recovering algorithms. Their potential applications include photography, robotics, and scientific research. Theoretical analyses and experiments are performed to validate our solutions.

Department dc:contributor.department

Massachusetts Institute of Technology. Department of Mechanical Engineering

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2016

Author dc:creator

• Zhao, Hang, Ph.D. Massachusetts Institute of Technology

Advisor dc:contributor.advisor

• Ramesh Raskar.

• Mechanical Engineering.

Statement dc:rights

• M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/103458

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/103458