Abstract
We propose method for the local spectral analysis of images via the two-dimensional continuous wavelet transform with the Morlet wavelet based on its representation as a solution of the partial differential equation. It has been shown that a transformed function uniquely determines an initial value for the equation, i.e. a Cauchy problem is stated. Its solving implies that scale parameter a plays a role of “time variable” and two translation parameters b x , b y are spatial independent variables. Numerical examples are given to illustrate the efficiency of the proposed method.
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VKS is grateful for financial support of the BOYSCAST Fellowship 2010–2011 program of the Department of Science and Technology of the Government of India.
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Postnikov, E.B., Singh, V.K. Local spectral analysis of images via the wavelet transform based on partial differential equations. Multidim Syst Sign Process 25, 145–155 (2014). https://doi.org/10.1007/s11045-012-0196-1
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DOI: https://doi.org/10.1007/s11045-012-0196-1