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International Conference on Advances in Computing and Data Sciences

ICACDS 2018: Advances in Computing and Data Sciences pp 134–143Cite as

An Efficient Image Fusion Technique Based on DTCWT

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 905))

Abstract

We introduce a novel image fusion technique for multifocus and multimodal image fusion based on dual-tree complex wavelet transform (DTCWT) in this paper. The motive of this work is to reconstruct a new and improved image retaining more significant detail from all the input/source images. The proposed fusion framework has been divided into three parts. In the first part, source images are transformed in frequency domain using DTCWT and high and low frequency sub-bands are obtained. In second part, obtained high-low frequency sub-bands are combined using two fusion methods: maximum rule and gradient based fusion rule. In the end, a single output fused image is reconstructed by merging all new fused frequency subbands using inverse DTCWT. Experimental results indicate that our proposed fusion framework yields more accurate analysis for fusion of multifocus or multimodal images. The obtained results from the proposed fusion framework prove that the proposed framework outperforms than several existing methods in qualitative and quantitative ways.

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Acknowledgment

We would like to thank Dr. V.P.S. Naidu to provide the images.

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Authors and Affiliations

  1. Department of Computer Science, BBA University, Lucknow, India

    Sonam & Manoj Kumar

Authors
  1. Sonam
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  2. Manoj Kumar
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Corresponding author

Correspondence to Sonam .

Editor information

Editors and Affiliations

  1. University of KwaZulu-Natal, Durban, South Africa

    Mayank Singh

  2. Jaypee University of Information Technology, Solan, India

    P. K. Gupta

  3. Jaypee University of Engineering and Technology, Guna, Madhya Pradesh, India

    Vipin Tyagi

  4. Institute of Information Theory and Automation, Prague 8, Czech Republic

    Jan Flusser

  5. University of Ottawa, Ottawa, Canada

    Tuncer Ören

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© 2018 Springer Nature Singapore Pte Ltd.

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Sonam, Kumar, M. (2018). An Efficient Image Fusion Technique Based on DTCWT. In: Singh, M., Gupta, P., Tyagi, V., Flusser, J., Ören, T. (eds) Advances in Computing and Data Sciences. ICACDS 2018. Communications in Computer and Information Science, vol 905. Springer, Singapore. https://doi.org/10.1007/978-981-13-1810-8_14

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  • DOI: https://doi.org/10.1007/978-981-13-1810-8_14

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-1809-2

  • Online ISBN: 978-981-13-1810-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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