Compressed Sensing and Low-Rank Matrix Decomposition in Multisource Images Fusion

We propose a novel super-resolution multisource images fusion scheme via compressive sensing and dictionary learning theory. Under the sparsity prior of images patches and the framework of the compressive sensing theory, the multisource images fusion is reduced to a signal recovery problem from the...

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Bibliographic Details
Main Authors: Kan Ren, Fuyuan Xu, Guohua Gu
Format: Article
Published: Hindawi Limited 2014-01-01
Series:Mathematical Problems in Engineering
Online Access: