16 resultados para computational complexity
Filtro por publicador
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (1)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (11)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (1)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (8)
- Aston University Research Archive (30)
- Biblioteca de Teses e Dissertações da USP (2)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (8)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (3)
- Biblioteca Digital de Teses e Dissertações Eletrônicas da UERJ (2)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (8)
- Boston University Digital Common (4)
- Brock University, Canada (1)
- Bucknell University Digital Commons - Pensilvania - USA (1)
- Bulgarian Digital Mathematics Library at IMI-BAS (5)
- CaltechTHESIS (16)
- Cambridge University Engineering Department Publications Database (105)
- CentAUR: Central Archive University of Reading - UK (24)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (17)
- Cochin University of Science & Technology (CUSAT), India (8)
- Dalarna University College Electronic Archive (1)
- Department of Computer Science E-Repository - King's College London, Strand, London (3)
- DI-fusion - The institutional repository of Université Libre de Bruxelles (1)
- Digital Commons - Michigan Tech (7)
- Digital Commons at Florida International University (2)
- DigitalCommons@The Texas Medical Center (1)
- DigitalCommons@University of Nebraska - Lincoln (4)
- DRUM (Digital Repository at the University of Maryland) (1)
- Duke University (7)
- Düsseldorfer Dokumenten- und Publikationsservice (1)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (4)
- FUNDAJ - Fundação Joaquim Nabuco (1)
- Glasgow Theses Service (2)
- Greenwich Academic Literature Archive - UK (7)
- Helda - Digital Repository of University of Helsinki (32)
- Indian Institute of Science - Bangalore - Índia (205)
- Instituto Politécnico do Porto, Portugal (1)
- Massachusetts Institute of Technology (8)
- Memorial University Research Repository (1)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (44)
- Queensland University of Technology - ePrints Archive (231)
- Repositório Científico da Universidade de Évora - Portugal (1)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (3)
- Repositório digital da Fundação Getúlio Vargas - FGV (1)
- Repositório Institucional da Universidade de Brasília (1)
- Repositório Institucional da Universidade Estadual de São Paulo - UNESP (1)
- Repositório Institucional da Universidade Federal do Rio Grande do Norte (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (18)
- Repositorio Institucional Universidad EAFIT - Medelin - Colombia (1)
- Universidad de Alicante (3)
- Universidad Politécnica de Madrid (28)
- Universidade Federal do Rio Grande do Norte (UFRN) (3)
- Universita di Parma (1)
- Universitat de Girona, Spain (3)
- Université de Montréal (1)
- Université de Montréal, Canada (5)
- University of Michigan (7)
- University of Queensland eSpace - Australia (10)
- University of Southampton, United Kingdom (1)
- WestminsterResearch - UK (1)
Resumo:
Computational imaging is flourishing thanks to the recent advancement in array photodetectors and image processing algorithms. This thesis presents Fourier ptychography, which is a computational imaging technique implemented in microscopy to break the limit of conventional optics. With the implementation of Fourier ptychography, the resolution of the imaging system can surpass the diffraction limit of the objective lens's numerical aperture; the quantitative phase information of a sample can be reconstructed from intensity-only measurements; and the aberration of a microscope system can be characterized and computationally corrected. This computational microscopy technique enhances the performance of conventional optical systems and expands the scope of their applications.