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2015 12th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2015, 12/2015
Conference Proceeding
HNO, ISSN 0017-6192, 8/2012, Volume 60, Issue 8, pp. 707 - 714
Innere Haarzellen vermitteln die Kodierung von Schallschwingungen in Nervenimpulse. Sie werden von den Spiralganglienneuronen, die den Hörnerv bilden, afferent... 
Corti-Organ | Organ of Corti | Innere Haarzellen | Höchstauflösende optische Mikroskopie | 4Pi microscopy | Inner hair cell afferent synapse | Otorhinolaryngology | Neurosurgery | 4Pi-Technik | Medicine & Public Health | STED-Technik | Afferente Synapse | Super-resolution optical microscopy | STED microscopy
Journal Article
Videoaufnahmen aus den vergangenen Jahrzehnten stellen kulturelles Erbe dar. Diese sind jedoch nach heutigen Sehgewohnheiten nicht ohne große Einschränkungen... 
ddc:004 | Video, Speichermedien, Digitalisierung, Recoloring, Super-Resolution, künstliche neuronale Netze | info:eu-repo/classification/ddc/004
Dissertation
Bildgruppen på enheten för dokument och informationsteknik hos SKL har ett behov av att kunna förbättra bilder med extremt låg upplösning. Detta bildmaterial... 
DART | Media and Communication Technology | bildförbättring | super-resolution | registreringsskyltar | POCS | Medieteknik
Dissertation
2011, Digital imaging and computer vision, ISBN 1439819300, xvii, 472
Book
Proceedings of SPIE - The International Society for Optical Engineering, ISSN 0277-786X, 2009, Volume 7334
Because hyperspectral imagery is generally low resolution, it is possible for one pixel in the image to contain several materials. The process of determining... 
Total variation | Hyperspectral imagery | Image super-resolution | Spectral unmixing
Conference Proceeding
IEEE transactions on pattern analysis and machine intelligence, ISSN 0162-8828, 02/2016, Volume 38, Issue 2, pp. 295 - 307
We propose a deep learning method for single image super-resolution (SR). Our method directly learns an end-to-end mapping between the low/high-resolution... 
Convolutional codes | Training | Image resolution | Super-resolution | Neural networks | Feature extraction | deep convolutional neural networks | sparse coding | Image reconstruction | Engineering, Electrical & Electronic | Engineering | Computer Science, Artificial Intelligence | Technology | Computer Science | Science & Technology | Usage | Analysis
Journal Article
Journal Article
Remote sensing (Basel, Switzerland), ISSN 2072-4292, 07/2016, Volume 8, Issue 7, p. 594
A new pansharpening method is proposed, based on convolutional neural networks. We adapt a simple and effective three-layer architecture recently proposed for... 
Super-resolution | Segmentation | Convolutional neural networks | Multiresolution | Enhancement | Machine learning | Technology | Remote Sensing | Science & Technology | multiresolution | segmentation | enhancement | convolutional neural networks | machine learning | super-resolution
Journal Article