Joint Reconstruction of Multiview Compressed Images

Distributed representation of correlated multiview images is an important problem that arises in vision sensor networks. This paper concentrates on the joint reconstruction problem where the distributively compressed images are decoded together in order to take benefit from the image correlation. We...

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Veröffentlicht in:	IEEE transactions on image processing Jg. 22; H. 5; S. 1969 - 1981
Hauptverfasser:	Thirumalai, V., Frossard, P.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York, NY IEEE 01.05.2013 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Applied sciences Coding Coding, codes Compressed Correlation Decoding Depth estimation Detection, estimation, filtering, equalization, prediction distributed compression Exact sciences and technology Image coding Image processing Image reconstruction Image resolution Information, signal and communications theory joint reconstruction Joints JPEG encoders-decoders multiview images Optimization proximal splitting Reconstruction Signal and communications theory Signal processing Signal, noise Studies Telecommunications and information theory Performance evaluation State of the art Image processing Artificial vision Information rate Convex programming Image reconstruction Multiple image Learning proximal splitting Image coding optimization Depth estimation Signal detection joint reconstruction Image compression Decoding Algorithm Temporal constraint Information transmission Constrained optimization Image quality Television Image sensor Sensor array distributed compression multiview images
ISSN:	1057-7149, 1941-0042, 1941-0042
Online-Zugang:	Volltext
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