dc.contributor.author | Artusi, A. | en |
dc.contributor.author | Akyüz, A. O. | en |
dc.contributor.author | Roch, B. | en |
dc.contributor.author | Michael, D. | en |
dc.contributor.author | Chrysanthou, Yiorgos L. | en |
dc.contributor.author | Chalmers, A. | en |
dc.creator | Artusi, A. | en |
dc.creator | Akyüz, A. O. | en |
dc.creator | Roch, B. | en |
dc.creator | Michael, D. | en |
dc.creator | Chrysanthou, Yiorgos L. | en |
dc.creator | Chalmers, A. | en |
dc.date.accessioned | 2019-11-13T10:38:21Z | |
dc.date.available | 2019-11-13T10:38:21Z | |
dc.date.issued | 2013 | |
dc.identifier.isbn | 978-1-4799-2341-0 | |
dc.identifier.uri | http://gnosis.library.ucy.ac.cy/handle/7/53584 | |
dc.description.abstract | When preparing high dynamic range images (HDR) for display on standard monitors, it is often necessary to make a choice between global and local tone mapping. While the former is simple and efficient, it may fail to reproduce details in high contrast image regions. Although, the latter can better reproduce details in such regions, it often comes at the cost of increased complexity and computational time. In this paper, we present an algorithm that combines the best of both approaches. We perform local tone mapping only in high frequency image regions where the visibility of details can be an issue. In low frequency regions, we employ global tone mapping to save computational resources without degrading quality. Our algorithm is most suitable for tone mapping operators (TMOs) that utilize the concept of local adaptation luminances. © 2013 IEEE. | en |
dc.source | 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings | en |
dc.source | 2013 20th IEEE International Conference on Image Processing, ICIP 2013 | en |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84897814444&doi=10.1109%2fICIP.2013.6738476&partnerID=40&md5=b779c86da4142e27742fa81d7d2cfa99 | |
dc.subject | Algorithms | en |
dc.subject | Mapping | en |
dc.subject | Computational resources | en |
dc.subject | Display devices | en |
dc.subject | Face recognition | en |
dc.subject | GPU | en |
dc.subject | High dynamic range images | en |
dc.subject | high dynamic range imaging | en |
dc.subject | High-frequency image regions | en |
dc.subject | real-time | en |
dc.subject | Tone mapping | en |
dc.subject | Tone mapping operators | en |
dc.title | Selective local tone mapping | en |
dc.type | info:eu-repo/semantics/conferenceObject | |
dc.identifier.doi | 10.1109/ICIP.2013.6738476 | |
dc.description.startingpage | 2309 | |
dc.description.endingpage | 2313 | |
dc.author.faculty | 002 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences | |
dc.author.department | Τμήμα Πληροφορικής / Department of Computer Science | |
dc.type.uhtype | Conference Object | en |
dc.description.notes | <p>Sponsors: The Institute of Electrical and Electronics Engineers (IEEE) Signal Processing Society | en |
dc.description.notes | Conference code: 103050 | en |
dc.description.notes | Cited By :5</p> | en |
dc.contributor.orcid | Chrysanthou, Yiorgos L. [0000-0001-5136-8890] | |
dc.gnosis.orcid | 0000-0001-5136-8890 | |