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Multiresolution Satellite Fusion Method for INSAT Images

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Advances in Computing and Data Sciences (ICACDS 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1046))

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Abstract

Image fusion is the procedure in which two input images are fused so as to develop the image quality. The input images have to be the images of the comparable prospect with assorted superiority measures. The superiority of the output image will be superior to any of the input images. In this paper, satellite image fusion performance based on Wavelet Packet Transform (WPT) is proposed. Two level decomposition WPT is done on two images to obtain sub-images. The ensuing coefficients are fused by new fusion rule to acquire the fused image. The worth of this method has explained by different images such as the INSAT 3D, INSAT 3A, LANDSAT and PAN images. In this paper the proposed WPT based fusion technique is compared with Discrete Wavelet Transform (DWT) based image fusion. Simulation results accomplished that the proposed method performs finer for image fusion when compared with DWT. Image fusion methods made a comparison against DWT and WPT quality and quantity. Investigational output ended that the proposed WPT design carry out finer for image fusion in association with DWT.

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Author information

Authors and Affiliations

  1. Department of Electronics and Instrumentation Engineering, Annamalai University, Chidambaram, Tamil Nadu, India

    B. Bharathidasan & G. Thirugnanam

Authors
  1. B. Bharathidasan
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  2. G. Thirugnanam
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Corresponding author

Correspondence to G. Thirugnanam .

Editor information

Editors and Affiliations

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

    Mayank Singh

  2. Computer Science and Engineering, Jaypee Institute of Information Technology, Waknaghat, Himachal Pradesh, India

    P.K. Gupta

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

    Vipin Tyagi

  4. ÚTIA AV ČR, Institute of Information Theory and Automation, Prague 8, Praha, Czech Republic

    Jan Flusser

  5. School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON, Canada

    Tuncer Ören

  6. CSE Department, Inderprastha Engineering College, Ghaziabad, Uttar Pradesh, India

    Rekha Kashyap

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Bharathidasan, B., Thirugnanam, G. (2019). Multiresolution Satellite Fusion Method for INSAT Images. In: Singh, M., Gupta, P., Tyagi, V., Flusser, J., Ören, T., Kashyap, R. (eds) Advances in Computing and Data Sciences. ICACDS 2019. Communications in Computer and Information Science, vol 1046. Springer, Singapore. https://doi.org/10.1007/978-981-13-9942-8_25

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  • DOI: https://doi.org/10.1007/978-981-13-9942-8_25

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-9941-1

  • Online ISBN: 978-981-13-9942-8

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