System for efficient reconstruction of images and light fields using compressive sensing.

Ralašić, Ivan

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

APA 6th Edition

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

MLA 8th Edition

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

Chicago 17th Edition

Harvard

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 27 September 2023, https://urn.nsk.hr/urn:nbn:hr:168:873639

Vancouver

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 September 27] Available at: https://urn.nsk.hr/urn:nbn:hr:168:873639

IEEE

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

Cite this item: https://urn.nsk.hr/urn:nbn:hr:168:873639

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Metadata

Title	System for efficient reconstruction of images and light fields using compressive sensing.
Title (croatian)	Sustav za učinkovitu rekonstrukciju slika i svjetlosnih polja primjenom sažimajućega očitavanja.
Author	Ivan Ralašić
Mentor	Damir Seršić (mentor)
Committee member	Damir Seršić (član povjerenstva)
Granter	University of Zagreb Faculty of Electrical Engineering and Computing (Department of Electronic Systems and Information Processing) Zagreb
Defense date and country	2020, 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)
Language	english
URN:NBN	urn:nbn:hr:168:873639
Promotion	2020
Study programme	Title: Computer Science Study programme type: university Study level: postgraduate Academic / professional title: Doktor znanosti (Doktor znanosti)
Catalog URL	https://lib.fer.hr:8443/cgi-bin/koha/catalogue/detail.pl?biblionumber=51853&searchid=scs_1600096011439
Type of resource	Text
Extent	175 str.
File origin	Born digital
Access conditions	Access restricted to students and staff of home institution
Terms of use
Repository	FER Repository
Created on	2020-09-14 15:08:55