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Wavelets and Wavelet Transform

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Multiscale Transforms with Application to Image Processing

Part of the book series: Signals and Communication Technology ((SCT))

Abstract

Wavelet transforms are the most powerful and the most widely used tool in the field of image processing. Wavelet transform has received considerable attention in the field of image processing due to its flexibility in representing non-stationary image signals and its ability in adapting to human visual characteristics. Wavelet transform is an efficient tool to represent an image. The wavelet transform allows multiresolution analysis of an image. The aim of the transform is to extract relevant information from an image. A wavelet transform divides a signal into a number of segments, each corresponding to a different frequency band.

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Authors and Affiliations

  1. Image Processing and Intelligent Systems Laboratory, Graduate School of Advanced Imaging Science, Multimedia and Film, Chung-Ang University, Seoul, South Korea

    Aparna Vyas, Soohwan Yu & Joonki Paik

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  1. Aparna Vyas
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  2. Soohwan Yu
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  3. Joonki Paik
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Correspondence to Aparna Vyas .

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Vyas, A., Yu, S., Paik, J. (2018). Wavelets and Wavelet Transform. In: Multiscale Transforms with Application to Image Processing. Signals and Communication Technology. Springer, Singapore. https://doi.org/10.1007/978-981-10-7272-7_3

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  • DOI: https://doi.org/10.1007/978-981-10-7272-7_3

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-7271-0

  • Online ISBN: 978-981-10-7272-7

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