Reduced-complexity disparity estimation for efficient multiview imagery encoding

3D display technology has witnessed a rapid development in the past decades. Currently 3D displays are being widely used in different application areas such as education, broadcasting, entertainment, surgery, video conferencing, etc. However, this technology owes its success to the other complementary technologies such as image acquisition, compression and transmission. In multiview displays, the realism of the reproduced 3D scene is dependent on the number of available views that the displays can show. These view images can be captured from different viewpoints of a scene by using a camera array. A smoother transition between views can be obtained by increasing the number of cameras located in the camera array. However, this comes at the price of an increased amount of image data which needs to be encoded (compressed) to store and transmit the data efficiently. The computational load of the multiview encoder is high and needs to be mitigated. This thesis focuses mainly on encoding multiview images captured by a 2D camera array efficiently in terms of complexity besides quality and bit-rate. The results on this thesis show that the complexity of the encoder can be reduced significantly without compromising the quality and bitrate.

Grantor dc:publisher

Ghent University. Faculty of Engineering and Architecture

Year dc:date

2013

Author dc:creator

• Avci, Aykut

Contributors dc:contributor

• De Smet, Herbert
• De Cock, Jan

• Technology and Engineering
• multiview 3D
• disparity vector estimation
• reduced complexity

Statement dc:rights

• info:eu-repo/semantics/openAccess

Language dc:language

eng

Identifier

https://biblio.ugent.be/publication/3235580
urn:isbn:9789085785729
https://biblio.ugent.be/publication/3235580/file/4336374

OAI identifier oai:identifier

oai:archive.ugent.be:3235580