Distributed Representation of Geometrically Correlated Images With Compressed Linear Measurements

This paper addresses the problem of distributed coding of images whose correlation is driven by the motion of objects or the camera positioning. It concentrates on the problem where images are encoded with compressed linear measurements. We propose a geometry-based correlation model that describes t...

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Bibliographic Details
Published in:	IEEE transactions on image processing Vol. 21; no. 7; pp. 3206 - 3219
Main Authors:	Thirumalai, V., Frossard, P.
Format:	Journal Article
Language:	English
Published:	New York, NY IEEE 01.07.2012 Institute of Electrical and Electronics Engineers
Subjects:	Applied sciences Approximation methods Coding, codes Correlation Correlation estimation Decoding Dictionaries Exact sciences and technology geometric transformations Image coding Image processing Image reconstruction Information, signal and communications theory Joints quantization random projections Sampling, quantization Signal and communications theory Signal processing sparse approximations Telecommunications and information theory Performance evaluation Positioning Dictionaries State of the art random projections Image processing Optimization Image reconstruction Multiple image Learning Multi-view technology Image coding Basis function Correlation estimation Signal quantization Sparse representation quantization Geometric transformation geometric transformations Image compression Decoding Algorithm Algorithm performance Disparity sparse approximations
ISSN:	1057-7149, 1941-0042, 1941-0042
Online Access:	Get full text
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