2.50
Hdl Handle:
http://hdl.handle.net/10547/292553
Title:
Multiview image coding using depth layers and an optimized bit allocation
Authors:
Gelman, Andriy; Dragotti, Pier Luigi; Velisavljević, Vladan ( 0000-0001-9980-9368 )
Abstract:
The authors present a novel wavelet-based compression algorithm for multiview images. This method uses a layer-based representation, where the 3-D scene is approximated by a set of depth planes with their associated constant disparities. The layers are extracted from a collection of images captured at multiple viewpoints and transformed using the 3-D discrete wavelet transform (DWT). The DWT consists of the 1-D disparity compensated DWT across the viewpoints and the 2-D shape-adaptive DWT across the spatial dimensions. Finally, the wavelet coefficients are quantized and entropy coded along with the layer contours. To improve the rate-distortion performance of the entire coding method, we develop a bit allocation strategy for the distribution of the available bit budget between encoding the layer contours and the wavelet coefficients. The achieved performance of our proposed scheme outperforms the state-of-the-art codecs for several data sets of varying complexity.
Citation:
Gelman, A., Dragoti, P.L. and Velisavljevic, V. (2012) 'Multiview image coding using depth layers and an optimized bit allocation', IEEE Transactions on Image Processing, 21(9), pp.4092-4105.
Publisher:
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Journal:
IEEE Transactions on Image Processing
Issue Date:
2012
URI:
http://hdl.handle.net/10547/292553
DOI:
10.1109/TIP.2012.2201490
Additional Links:
http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6205377
Type:
Article
Language:
en
ISSN:
1057-7149; 1941-0042
Appears in Collections:
Centre for Wireless Research (CWR)

Full metadata record

DC FieldValue Language
dc.contributor.authorGelman, Andriyen_GB
dc.contributor.authorDragotti, Pier Luigien_GB
dc.contributor.authorVelisavljević, Vladanen_GB
dc.date.accessioned2013-05-21T13:39:34Z-
dc.date.available2013-05-21T13:39:34Z-
dc.date.issued2012-
dc.identifier.citationGelman, A., Dragoti, P.L. and Velisavljevic, V. (2012) 'Multiview image coding using depth layers and an optimized bit allocation', IEEE Transactions on Image Processing, 21(9), pp.4092-4105.en_GB
dc.identifier.issn1057-7149-
dc.identifier.issn1941-0042-
dc.identifier.doi10.1109/TIP.2012.2201490-
dc.identifier.urihttp://hdl.handle.net/10547/292553-
dc.description.abstractThe authors present a novel wavelet-based compression algorithm for multiview images. This method uses a layer-based representation, where the 3-D scene is approximated by a set of depth planes with their associated constant disparities. The layers are extracted from a collection of images captured at multiple viewpoints and transformed using the 3-D discrete wavelet transform (DWT). The DWT consists of the 1-D disparity compensated DWT across the viewpoints and the 2-D shape-adaptive DWT across the spatial dimensions. Finally, the wavelet coefficients are quantized and entropy coded along with the layer contours. To improve the rate-distortion performance of the entire coding method, we develop a bit allocation strategy for the distribution of the available bit budget between encoding the layer contours and the wavelet coefficients. The achieved performance of our proposed scheme outperforms the state-of-the-art codecs for several data sets of varying complexity.en_GB
dc.language.isoenen
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INCen_GB
dc.relation.urlhttp://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6205377en_GB
dc.subjectimage codingen_GB
dc.subjectdiscrete wavelet transformsen_GB
dc.subjectThree dimensional displaysen_GB
dc.titleMultiview image coding using depth layers and an optimized bit allocationen
dc.typeArticleen
dc.identifier.journalIEEE Transactions on Image Processingen_GB
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