Physics and Algorithms in Time of Flight Based Computational Imaging

Imaging systems work on an interplay of physics, electronics, and algorithms. Designing imaging systems by exploiting all these layers of abstraction can give rise to novel applications and interesting solutions to existing problems. In this thesis, I will explore this design philosophy in 2 problems; automatic calibration of cameras that can see around corners, high resolution optical measurement of ultrasound. I will utilize advanced electronics hardware like femtosecond lasers, and Single Photon Avalanche Photodiode(SPAD) detectors for the automatic calibration project and software tools meant for machine learning in Python. For optical ultrasound measurement, I will use relatively simple hardware like solid state lasers, bench top optics, Field Programmable Gate Arrays (FPGA), and a synchronised global shutter CMOS camera. Both projects are aimed at solving practical problems in their respective areas. Automatic calibration aims to improve the fidelity of images by algorithmically fixing calibration errors after taking measurements in cameras which can see around the corners. The optical ultrasound project aims to take medical ultrasound images at a very low cost and high resolution by using ideas from optics, laser vibrometry, and signal processing.

Name thesis:degree_name

Master

Department dc:contributor.department

Program in Media Arts and Sciences (Massachusetts Institute of Technology)

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2021

Author dc:creator

• Sadhu, Venkata Subhash Chandra

Advisor dc:contributor.advisor

• Raskar, Ramesh

Statement dc:rights

• In Copyright - Educational Use Permitted
• Copyright MIT

Licence dc:rights.uri

• http://rightsstatements.org/page/InC-EDU/1.0/

Handle dc:identifier.uri

https://hdl.handle.net/1721.1/146695

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/146695