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BATALLER THOMAS ERIC_474078.pdf (741.89 KB)

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Bachelor thesis

Publication date

2020-01

Publication license

cc-by-nc-nd (c) Bataller, 2020
Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/176390

Computational ghost imaging by means of Fourier spectrum acquisition

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Abstract

Computational ghost imaging (CGI) is a innovative technique capable of performing imaging with a single-pixel detector (SP) by illuminating the scene with an ensemble of random patterns and calculating the correlation of those patterns and the object. Therefore, it's based on a statistical model. Nevertheless, this way of carrying out an image reconstruction presents some issues regarding long data-acquisition time and a low reconstruction quality. Recently, a new computational imaging technique called Fourier ghost imaging (FGI) was proposed which can reconstruct images by acquiring their Fourier spectrum, therefore making use of a deterministic model. Simulations on both methods are performed with its corresponding analysis on the efficiency and their robustness against noise. Our work may provide a guideline for researchers to decide whether or not they use a ghost imaging technique

Description

Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2020, Tutor: Artur Carnicer Gonzalez

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Imatge fantasma, Sensor d'imatge, Treballs de fi de grau

Subject (English)

Ghost imaging, Image sensor, Bachelor's theses

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Treballs Finals de Grau (TFG) - Física

Citation

BATALLER THOMAS, Eric. Computational ghost imaging by means of Fourier spectrum acquisition. [consulted: 12 of June of 2026]. Available at: https://hdl.handle.net/2445/176390

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