ON NONLOCAL IMAGE COMPLETION USING AN ENSEMBLE OF DICTIONARIES
2016 (English)In: 2016 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), IEEE , 2016, 2519-2523 p.Conference paper (Refereed)
In this paper we consider the problem of nonlocal image completion from random measurements and using an ensemble of dictionaries. Utilizing recent advances in the field of compressed sensing, we derive conditions under which one can uniquely recover an incomplete image with overwhelming probability. The theoretical results are complemented by numerical simulations using various ensembles of analytical and training-based dictionaries.
Place, publisher, year, edition, pages
IEEE , 2016. 2519-2523 p.
IEEE International Conference on Image Processing ICIP, ISSN 1522-4880
compressed sensing; image completion; nonlocal; inverse problems; uniqueness conditions
Computer Vision and Robotics (Autonomous Systems)
IdentifiersURN: urn:nbn:se:liu:diva-134107DOI: 10.1109/ICIP.2016.7532813ISI: 000390782002114ISBN: 978-1-4673-9961-6 (print)OAI: oai:DiVA.org:liu-134107DiVA: diva2:1067518
23rd IEEE International Conference on Image Processing (ICIP)