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http://dx.doi.org/10.5573/IEIESPC.2016.5.6.403

Review of the Application of Wavelet Theory to Image Processing  

Vyas, Aparna (Image Processing and Intelligent Systems Laboratory, Graduate School of Advanced Imaging Science, Multimedia, and Film, Chung Ang University)
Paik, Joonki (Image Processing and Intelligent Systems Laboratory, Graduate School of Advanced Imaging Science, Multimedia, and Film, Chung Ang University)
Publication Information
IEIE Transactions on Smart Processing and Computing / v.5, no.6, 2016 , pp. 403-417 More about this Journal
Abstract
This paper reviews recent published works dealing with the application of wavelets to image processing based on multiresolution analysis. After revisiting the basics of wavelet transform theory, various applications of wavelets and multiresolution analysis are reviewed, including image denoising, image enhancement, super-resolution, and image compression. In addition, we introduce the concept and theory of quaternion wavelets for the future advancement of wavelet transform and quaternion multiresolution applications.
Keywords
Wavelets; Wavelet transform; Multiresolution analysis; Quaternion wavelets; Image processing;
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