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Proceedings of International Conference on Computer Science and Information Technology pp 53–60Cite as

A New Image-Fusion Technique Based on Blocked Sparse Representation

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 255))

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 \( l^{1} \)-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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Acknowledgments

This research is supported by NSF of China (No. 61203360) and NSF of Ningbo City (No. 2011B82012).

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Authors and Affiliations

  1. School of Electronic and Information Engineering, Ningbo University of Technology, Ningbo, Zhejiang, China

    Yongping Zhang & Yaojia Chen

Authors
  1. Yongping Zhang
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  2. Yaojia Chen
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Corresponding author

Correspondence to Yongping Zhang .

Editor information

Editors and Affiliations

  1. Computer Science and Engineering, SOA University, Bhubaneswar, India

    Srikanta Patnaik

  2. Electronics and Computer Engineering Technology, Indiana State University, Terre Haute, IN, USA

    Xiaolong Li

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© 2014 Springer India

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Zhang, Y., Chen, Y. (2014). A New Image-Fusion Technique Based on Blocked Sparse Representation. In: Patnaik, S., Li, X. (eds) Proceedings of International Conference on Computer Science and Information Technology. Advances in Intelligent Systems and Computing, vol 255. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1759-6_7

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  • DOI: https://doi.org/10.1007/978-81-322-1759-6_7

  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-1758-9

  • Online ISBN: 978-81-322-1759-6

  • eBook Packages: EngineeringEngineering (R0)

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