Abstract
Discrete Wavelet Transform is one of the most popular tools of digital signal processing. Many different wavelet functions have been proposed so far, however there is no wavelet that would be the most suitable for every task. Therefore a method allowing to adaptively synthesize the most suitable wavelet for a given task must be developed. In this paper a general outline of such method will be discussed. A concept of tools used for analysis of adaptive wavelets will be presented.
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Stolarek, J. (2012). Adaptive Wavelet Synthesis for Improving Digital Image Watermarking. In: Lipiński, P., Świrski, K. (eds) Towards Modern Collaborative Knowledge Sharing Systems. Studies in Computational Intelligence, vol 401. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27446-6_11
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DOI: https://doi.org/10.1007/978-3-642-27446-6_11
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