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ICIP
2010
IEEE
13 years 2 months ago
Compressed sensing of multiview images using disparity compensation
Compressed sensing is applied to multiview image sets and interimage disparity compensation is incorporated into image reconstruction in order to take advantage of the high degree...
Maria Trocan, Thomas Maugey, Eric W. Tramel, James...
ICMCS
2010
IEEE
191views Multimedia» more  ICMCS 2010»
13 years 3 months ago
Disparity-compensated compressed-sensing reconstruction for multiview images
In a multiview-imaging setting, image-acquisition costs could be substantially diminished if some of the cameras operate at a reduced quality. Compressed sensing is proposed to ef...
Maria Trocan, Thomas Maugey, James E. Fowler, B&ea...
ICIP
2008
IEEE
13 years 11 months ago
Compressed sensing for multi-view tracking and 3-D voxel reconstruction
Compressed sensing(CS) suggests that a signal, sparse in some basis, can be recovered from a small number of random projections. In this paper, we apply the CS theory on sparse ba...
Dikpal Reddy, Aswin C. Sankaranarayanan, Volkan Ce...
ICIP
2007
IEEE
13 years 6 months ago
Rendering-Oriented Decoding for Distributed Multi-View Coding System
This paper discusses a system in which multi-view images are captured and encoded in a distributed fashion and a viewer synthesizes a novel view from this data. We developed an ef...
Yuichi Taguchi, Takeshi Naemura
ICASSP
2009
IEEE
13 years 11 months ago
Joint reconstruction of compressed multi-view images
This paper proposes a distributed representation algorithm for multi-view images that are jointly reconstructed at the decoder. Compressed versions of each image are first obtain...
Xu Chen, Pascal Frossard