prikaz prve stranice dokumenta System for efficient reconstruction of images and light fields using compressive sensing.
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doctoral thesis
System for efficient reconstruction of images and light fields using compressive sensing.
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. urn:nbn:hr:168:873639
Ralašić, Ivan
University of Zagreb
Faculty of Electrical Engineering and Computing
Department of Electronic Systems and Information Processing

Cite this document

Ralašić, I. (2020). System for efficient reconstruction of images and light fields using compressive sensing. (Doctoral thesis). Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:873639

Ralašić, Ivan. "System for efficient reconstruction of images and light fields using compressive sensing.." Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:873639

Ralašić, Ivan. "System for efficient reconstruction of images and light fields using compressive sensing.." Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:873639

Ralašić, I. (2020). 'System for efficient reconstruction of images and light fields using compressive sensing.', Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 29 January 2023, https://urn.nsk.hr/urn:nbn:hr:168:873639

Ralašić I. System for efficient reconstruction of images and light fields using compressive sensing. [Doctoral thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2020 [cited 2023 January 29] Available at: https://urn.nsk.hr/urn:nbn:hr:168:873639

I. Ralašić, "System for efficient reconstruction of images and light fields using compressive sensing.", Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:168:873639

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Metadata
TitleSystem for efficient reconstruction of images and light fields using compressive sensing.
Title (croatian)Sustav za učinkovitu rekonstrukciju slika i svjetlosnih polja primjenom sažimajućega očitavanja.
AuthorIvan Ralašić
MentorDamir Seršić (mentor)
Committee memberDamir Seršić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
(Department of Electronic Systems and Information Processing)
Zagreb
Defense date and country2020, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Data Processing
Universal decimal classification
(UDC)		004 - Computer science and technology. Computing. Data processing
Abstract
In this thesis, a design of a measurement system for image and light field acquisition comprised of off-the-shelf components (i.e. camera and projector) is proposed. Additionally, a detailed calibration procedure that enables high-quality reconstructions using a compressive sensing (CS) framework is proposed. It minimizes the influence of additive and multiplicative noise in the CS setup. The calibrated system is used for efficient sampling of images and light fields using a sub-Nyquist number of measurements. The proposed system enables high-resolution imaging using a low-resolution imaging sensor. This fact is especially important in the area of light field imaging, where an inherent spatio-angular trade-off exists. The proposed measurement setup and the reconstruction methods enable overcoming the aforementioned trade-off. Finally, efficient methods for reconstruction of CS images using machine learning are proposed. They have the benefits of improved reconstruction speed and quality of the CS images, especially at extremely low measurement rates.
Abstract (croatian)
U ovom radu, predložen je dizajn mjernog sustava za akviziciju slika i svjetlosnih polja sastavljenog od nemodificiranih komponenti (kamere i projektora). Nadalje, predstavljena je metoda umjeravanja koja omogućuje rekonstrukciju slika visoke kvalitete korištenjem sažimajućeg očitavanja. Razvijena metoda umjeravanja smanjuje utjecaj aditivnog i multiplikativnog šuma u sustavu sažimajućeg očitavanja. Kalibrirani sustav korišten je za učinkovito uzorkovanje slika i svjetlosnih polja korištenjem pod-Nyquistovskog broja uzoraka. Predloženi sustav omogućuje visokorezolucijsko snimanje slika i svjetlosnih polja korištenjem niskorezolucijskog slikovnog senzora. Spomenuta činjenica posebno je važna pri snimanju svjetlosnih polja, gdje postoji kompromis između prostorne i kutne rezolucije. Konačno, u radu su predložene efikasne metode za rekonstrukciju sažeto očitanih slika korištenjem strojnog učenja. Razvijene metode imaju brojne prednosti poput bržeg vremena rekonstrukcije te kvalitete sažeto očitanih slika, posebice u slučaju ekstremnog poduzorkovanja.
Keywords
Keywords (croatian)
Languageenglish
URN:NBNurn:nbn:hr:168:873639
Promotion2020
Study programmeTitle: Computer Science
Study programme type: university
Study level: postgraduate
Academic / professional title: Doktor znanosti (Doktor znanosti)
Catalog URLhttps://lib.fer.hr:8443/cgi-bin/koha/catalogue/detail.pl?biblionumber=51853&searchid=scs_1600096011439
Type of resourceText
Extent175 str.
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
RepositoryFER Repository
Created on2020-09-14 15:08:55

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