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doctoral thesis

Sampling Geometry and Colour

Pacholska, Michalina Wanda  
2021

In this thesis, we take a signal-processing approach to two research areas outside of the core of the signal processing research: geometry reconstruction and light propagation through non-uniform media.

In the first area, we consider new sampling schemes inspired by problems of surface recovery and continuous localisation. We analyse sampling at unknown locations and show signal recovery uniqueness under constraints. We also study non-synchronised sampling of vector-valued signals or fields, that arise in the problem of localisation of a smoothly moving device. We provide sufficient conditions for device localisation. To this end, we formulate the problem of rank-one sensing of full-rank matrices and develop sufficient conditions for matrix recovery when some measurements are missing.

In the second area, we study Lippmann photography, a century-old colour photography technique. We model recording and viewing of a Lippmann photograph as analysis and synthesis operators and study the invertibility of their composition. We extend our analysis to a potential method of creating digital photographs, namely internal modification of glass with femto-second lasers.

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Type
doctoral thesis
DOI
10.5075/epfl-thesis-8253
Author(s)
Pacholska, Michalina Wanda  
Advisors
Vetterli, Martin  
•
Scholefield, Adam James  
Jury

Prof. Michael Christoph Gastpar (président) ; Prof. Martin Vetterli, Dr Adam James Scholefield (directeurs) ; Prof. Michael Unser, Prof. Stephane Mallat, Prof. Anders Hansen (rapporteurs)

Date Issued

2021

Publisher

EPFL

Publisher place

Lausanne

Public defense year

2021-10-29

Thesis number

8253

Total of pages

229

Subjects

sampling at unknown locations

•

matrix recovery

•

rank-one sensing

•

product of frames

•

range sensing

•

trajectory estimation

•

Lippmann

•

photography

•

interference

•

femto-second lasers

EPFL units
LCAV1
Faculty
IC  
School
IINFCOM  
Doctoral School
EDIC  
Available on Infoscience
October 21, 2021
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/182361
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