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A Study of Feature-Based and Pixel-Level Image Fusion Techniques

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Decision Intelligence (InCITe 2023)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 1079))

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Abstract

In order to offer a single, more precise representation of the display than any one of the original origin photographs, image fusion attempts to combine the original images of the same scenario. Symbol, feature, pixel and signal levels are only a few of the levels at which image fusion can be applied. The starting point for more image fusion approaches to the range of IF is pixel-level and feature based, and multi-scale decomposition multi-resolution image fusion is a significant area of image processing. In the research, we investigate different image fusion methods for the standard enhancement and performance evaluation of the merge image and get some relevant results.

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Authors and Affiliations

  1. Department of Computer Science, Uttaranchal Institute of Technology, Uttaranchal University, Dehradun, India

    Vivek Kumar & Kapil Joshi

  2. Uttaranchal School of Computing Sciences, Uttaranchal University, Dehradun, India

    Manisha Khanduja

  3. Centre for Excellence in Computational Engineering and Networking, Amrita Vishwa Vidyapeetham, Coimbatore, Tamil Nadu, India

    Harishchander Anandaram

  4. Graphic Era (Deemed to Be University), Department of Management Studies, Dehradun, Uttarakhand, India

    Ashulekha Gupta

  5. Department of Computer Science, Graphic Era (Deemed to Be University), Dehradun, Uttarakhand, India

    Manoj Diwakar

Authors
  1. Vivek Kumar
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  2. Manisha Khanduja
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  3. Harishchander Anandaram
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  4. Kapil Joshi
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  5. Ashulekha Gupta
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  6. Manoj Diwakar
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Corresponding author

Correspondence to Vivek Kumar .

Editor information

Editors and Affiliations

  1. Innovation and Technology Foundation (IBITF), Indian Institute of Technology Bhilai, Sejbahar, Chhattisgarh, India

    B. K. Murthy

  2. Director, NIT Kurukshetra, Thanesar, Haryana, India

    B. V. R. Reddy

  3. Amity School of Engineering and Technology, Amity University Uttar Pradesh, Noida, Uttar Pradesh, India

    Nitasha Hasteer

  4. Department of Information System, University of Cape Town, Cape Town, South Africa

    Jean-Paul Van Belle

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Cite this paper

Kumar, V., Khanduja, M., Anandaram, H., Joshi, K., Gupta, A., Diwakar, M. (2023). A Study of Feature-Based and Pixel-Level Image Fusion Techniques. In: Murthy, B.K., Reddy, B.V.R., Hasteer, N., Van Belle, JP. (eds) Decision Intelligence. InCITe 2023. Lecture Notes in Electrical Engineering, vol 1079. Springer, Singapore. https://doi.org/10.1007/978-981-99-5997-6_15

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