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A Novel Approach for Image Fusion with Guided Filter Based on Feature Transform

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Communication, Networks and Computing (CNC 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 839))

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Abstract

A quick and successful multi-center picture combination strategy is proposed for making a very educational intertwined picture through consolidating at least two pictures. The proposed technique depends on a two-scale decay of a picture into a base layer containing extensive scale varieties in force, and a detail layer catching little scale points of interest. A proposed GFF-FT (Guided-Filtering Fusion with Feature Transform) based weighted normal strategy is proposed to make full utilization of spatial consistency for combination of the base and detail layers. We propose depicting input pictures by SIFT descriptors. Filter descriptors are removed from the first pictures on premise of surface, shading and shape. The weighted normal method is execute based on SIFT include descriptors. Test comes about show that the proposed strategy can acquire best in class execution for combination of multi-center pictures.

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Authors and Affiliations

  1. Department of ECE, GEC, Bhopal, Madhya Pradesh, India

    Krishnavijay Tripathi & Ashutosh Sharma

Authors
  1. Krishnavijay Tripathi
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  2. Ashutosh Sharma
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Corresponding author

Correspondence to Ashutosh Sharma .

Editor information

Editors and Affiliations

  1. Indian Institute of Information Technology, Allahabad, India

    Shekhar Verma

  2. ITM University, Gwalior, India

    Ranjeet Singh Tomar

  3. ITM University, Gwalior, India

    Brijesh Kumar Chaurasia

  4. Indian Institute of Information Technology, Allahabad, India

    Vrijendra Singh

  5. School of Information Technology, Deakin University, Burwood, VIC, Australia

    Jemal Abawajy

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Tripathi, K., Sharma, A. (2019). A Novel Approach for Image Fusion with Guided Filter Based on Feature Transform. In: Verma, S., Tomar, R., Chaurasia, B., Singh, V., Abawajy, J. (eds) Communication, Networks and Computing. CNC 2018. Communications in Computer and Information Science, vol 839. Springer, Singapore. https://doi.org/10.1007/978-981-13-2372-0_21

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  • DOI: https://doi.org/10.1007/978-981-13-2372-0_21

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-2371-3

  • Online ISBN: 978-981-13-2372-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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