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Image Filtering with Iterative Wavelet Transform Based Compression

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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

This paper attempts to propose a methodology to reduce the size of high definition colored images taken by the professional photographers. In this digital era as technology is advancing so fast, high definition photos are captured. But these pictures take a lot of memory space. Therefore data and image compression techniques are in great requirement. The major goal is to find computationally efficient algorithm to significantly reduce the storage size with capability to retrieve the quality of image. The proposed work effectively uses Discrete Wavelet Transform (DWT) and only low frequency part of the image is transmitted, after that further iterations are performed to increase the compression ratio. Numbers of iterations are decided by making a trade-off between compression ratio (CR) and Peak Signal to Noise Ratio (PSNR) value. Arithmetic coding is applied for further compressing the image. To improve the image quality (PSNR) further at higher iteration, filters has been applied. Switching weighted median filter and simple median filter has been studied. Analysis on different window size of median filter has also been done to achieve improved PSNR value.

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Author information

Authors and Affiliations

  1. Department of Electronics, MITS, Gwalior, India

    Vikas Mahor, Srishti Agrawal & Rekha Gupta

Authors
  1. Vikas Mahor
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  2. Srishti Agrawal
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  3. Rekha Gupta
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Corresponding author

Correspondence to Vikas Mahor .

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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Mahor, V., Agrawal, S., Gupta, R. (2019). Image Filtering with Iterative Wavelet Transform Based Compression. 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_24

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  • DOI: https://doi.org/10.1007/978-981-13-9942-8_24

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-9941-1

  • Online ISBN: 978-981-13-9942-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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