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Novel Approach for Resolution Enhancement of Satellite Images Using Wavelet Techniques

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Progress in Advanced Computing and Intelligent Engineering

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1198))

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Abstract

Today, many researchers are working on satellite images, to solve resolution problems. Some of the techniques are used to enhance the resolutions that are Stationary Wavelet (SWT), Discrete Wavelet (DWT) and Integer Wavelet Transforms (IWT). These wavelet transforms are considered for improving the quality in terms of resolution enhancement. Low resolution (LR) image is used for processing and decomposed by mentioned transforms. Interpolation techniques are applied to manipulate the output of transform images. Some estimated images determined through the interpolation factor 2 to make equal sizes of images. All the images are integrated with inverse wavelet transform to generate high resolution (HR). In this work, we have compared wavelet transform. LANDSAT5 satellite images are considered for verification of implemented techniques. In this paper, three types of results are presented that are enhanced the image with size 128 × 128 to 512 × 512, 256 × 256 to 512 × 512 and iterative resolution. Some of the quality parameters are applied, i.e. PSNR, RMSE, MAE and MSE for verification for the performance of implemented techniques.

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Author information

Authors and Affiliations

  1. Information Technology Department, K.J.S.I.E/IT, Mumbai, 400022, India

    Mansing Rathod

  2. Pacific University, Udaipur, 313003, India

    Mansing Rathod & Dilendra Hiran

  3. Electronics and Telecommunication Department, K.J.S.I.E/IT, Mumbai, 400022, India

    Jayashree Khanapuri

Authors
  1. Mansing Rathod
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  2. Jayashree Khanapuri
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  3. Dilendra Hiran
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Corresponding author

Correspondence to Mansing Rathod .

Editor information

Editors and Affiliations

  1. Department of Computer Science, Rama Devi Women’s University, Bhubaneswar, Odisha, India

    Chhabi Rani Panigrahi

  2. Department of Computer Science, Rama Devi Women’s University, Bhubaneswar, Odisha, India

    Bibudhendu Pati

  3. Department of Computer Science, University of California, Davis, CA, USA

    Prasant Mohapatra

  4. Cloud Computing and Distributed Systems (CLOUDS) Laboratory, School of Computing and Information Systems, University of Melbourne, Melbourne, VIC, Australia

    Rajkumar Buyya

  5. Department of Computer Science and Information Engineering, Providence University, Taichung, Taiwan

    Kuan-Ching Li

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Rathod, M., Khanapuri, J., Hiran, D. (2021). Novel Approach for Resolution Enhancement of Satellite Images Using Wavelet Techniques. In: Panigrahi, C.R., Pati, B., Mohapatra, P., Buyya, R., Li, KC. (eds) Progress in Advanced Computing and Intelligent Engineering. Advances in Intelligent Systems and Computing, vol 1198. Springer, Singapore. https://doi.org/10.1007/978-981-15-6584-7_2

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  • DOI: https://doi.org/10.1007/978-981-15-6584-7_2

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-6583-0

  • Online ISBN: 978-981-15-6584-7

  • eBook Packages: EngineeringEngineering (R0)

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