Super-resolution using multiple quantized images
dc.citation.epage | 2032 | en_US |
dc.citation.spage | 2029 | en_US |
dc.contributor.author | Özçelikkale, Ayça | en_US |
dc.contributor.author | Akar, G. B. | en_US |
dc.contributor.author | Özaktas, Haldun M. | en_US |
dc.coverage.spatial | Hong Kong, China | en_US |
dc.date.accessioned | 2016-02-08T12:20:56Z | |
dc.date.available | 2016-02-08T12:20:56Z | |
dc.date.issued | 2010 | en_US |
dc.department | Department of Electrical and Electronics Engineering | en_US |
dc.description | Date of Conference: 26-29 September 2010 | en_US |
dc.description | Conference Name: 17th International Conference on Image Processing, IEEE 2010 | en_US |
dc.description.abstract | In this paper, we study the effect of limited amplitude resolution (pixel depth) in super-resolution problem. The problem we address differs from the standard super-resolution problem in that amplitude resolution is considered as important as spatial resolution. We study the trade-off between the pixel depth and spatial resolution of low resolution (LR) images in order to obtain the best visual quality in the reconstructed high resolution (HR) image. The proposed framework reveals great flexibility in terms of pixel depth and number of LR images in super-resolution problem, and demonstrates that it is possible to obtain target visual qualities with different measurement scenarios including images with different amplitude and spatial resolutions. | en_US |
dc.description.provenance | Made available in DSpace on 2016-02-08T12:20:56Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2010 | en |
dc.identifier.doi | 10.1109/ICIP.2010.5651039 | en_US |
dc.identifier.issn | 1522-4880 | en_US |
dc.identifier.uri | http://hdl.handle.net/11693/28448 | |
dc.language.iso | English | en_US |
dc.publisher | IEEE | en_US |
dc.relation.isversionof | http://dx.doi.org/10.1109/ICIP.2010.5651039 | en_US |
dc.source.title | Proceedings of the 17th International Conference on Image Processing, IEEE 2010 | en_US |
dc.subject | Pixel depth | en_US |
dc.subject | Amplitude resolution | en_US |
dc.subject | High resolution image | en_US |
dc.subject | Low resolution images | en_US |
dc.subject | Quantization | en_US |
dc.subject | Spatial resolution | en_US |
dc.subject | Super resolution | en_US |
dc.subject | Visual qualities | en_US |
dc.subject | Image resolution | en_US |
dc.subject | Imaging systems | en_US |
dc.subject | Pixels | en_US |
dc.title | Super-resolution using multiple quantized images | en_US |
dc.type | Conference Paper | en_US |
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