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2012 International Conference on Computational Intelligence and Software Engineering (CiSE 2012)(E-BOOK)

Wuhan,China,2012-12-142012-12-162012

ISBN: 978-1-61896-036-8 Scientific Research Publishing

E-Book 275pp Pub. Date: December 2012

Category: Computer Science & Communications

Price: $100

Title: An Approach to Image Fusion based on Blocked Sparse Representation
Source: 2012 International Conference on Computational Intelligence and Software Engineering (CiSE 2012)(E-BOOK) (pp 135-138)
Author(s): Yongping Zhang, School of Electronic and Information Engineering, Ningbo University of Technology, Ningbo, Zhejiang, China
Yaojia Chen, School of Electronic and Information Engineering, Ningbo University of Technology, Ningbo, Zhejiang, China
Abstract: An image fusion scheme based on blocked sparse representation is presented in the paper. Firstly, the source images are segmented into patches and then the patches are sparsely represented with learned redundant dictionary. Following that, a salient feature of each sparse coefficient vector is calculated by integrating the sparsity and the l¹-norm of the sparse coefficient vector. Next, the sparse coefficient vectors are fused by adopting the weighted average rule in which the weighted factors are proportional to the salient features of the sparse coefficient vectors. Finally, the fusion image is constructed by the fused coefficient vector with the learned redundant dictionary. Experiments show that the fusion algorithm is effective and superior to the method based wavelet decomposition.
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