2.50
Hdl Handle:
http://hdl.handle.net/10547/292578
Title:
Space-frequency quantization using directionlets
Authors:
Velisavljević, Vladan ( 0000-0001-9980-9368 ) ; Beferull-Lozano, Baltasar; Vetterli, Martin
Abstract:
The authors combined the directionlets with the space-frequency quantization (SFQ) image compression method, originally based on the standard two-dimensional (2-D) wavelet transform (WT). We show that our new compression method outperforms the standard SFQ as well as the state-of-the-art compression methods, like SPIHT and JPEG-2000, in terms of the quality of compressed images, especially in a low-rate compression regime. We also show that the order of computational complexity remains the same, as compared to the complexity of the standard SFQ algorithm.
Citation:
Velisavljevic, V., Beferull-Lozano, B. and Vetterli, M. (2007) 'Space-frequency quantization using directionlets', IEEE International Conference on Image Processing (ICIP 2007), San Antonio, Texas USA, 16 September - 19 October. San Antonio: IEEE, vol.3, pp.161-164.
Publisher:
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Issue Date:
2007
URI:
http://hdl.handle.net/10547/292578
DOI:
10.1109/ICIP.2007.4379271
Additional Links:
http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=4379271
Type:
Conference papers, meetings and proceedings
Language:
en
ISBN:
9781424414376
Appears in Collections:
Centre for Wireless Research (CWR)

Full metadata record

DC FieldValue Language
dc.contributor.authorVelisavljević, Vladanen_GB
dc.contributor.authorBeferull-Lozano, Baltasaren_GB
dc.contributor.authorVetterli, Martinen_GB
dc.date.accessioned2013-05-22T14:55:26Z-
dc.date.available2013-05-22T14:55:26Z-
dc.date.issued2007-
dc.identifier.citationVelisavljevic, V., Beferull-Lozano, B. and Vetterli, M. (2007) 'Space-frequency quantization using directionlets', IEEE International Conference on Image Processing (ICIP 2007), San Antonio, Texas USA, 16 September - 19 October. San Antonio: IEEE, vol.3, pp.161-164.en_GB
dc.identifier.isbn9781424414376-
dc.identifier.doi10.1109/ICIP.2007.4379271-
dc.identifier.urihttp://hdl.handle.net/10547/292578-
dc.description.abstractThe authors combined the directionlets with the space-frequency quantization (SFQ) image compression method, originally based on the standard two-dimensional (2-D) wavelet transform (WT). We show that our new compression method outperforms the standard SFQ as well as the state-of-the-art compression methods, like SPIHT and JPEG-2000, in terms of the quality of compressed images, especially in a low-rate compression regime. We also show that the order of computational complexity remains the same, as compared to the complexity of the standard SFQ algorithm.en_GB
dc.language.isoenen
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INCen_GB
dc.relation.urlhttp://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=4379271en_GB
dc.subjectcomputational complexityen_GB
dc.subjectdata compressionen_GB
dc.subjectimage codingen_GB
dc.subjectimage reconstructionen_GB
dc.subjectwavelet transformsen_GB
dc.titleSpace-frequency quantization using directionletsen
dc.typeConference papers, meetings and proceedingsen
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