Singularity Detection from Autocovariance via Wavelet Packets
نویسنده
چکیده
We use the eigenvalues of a version of the autocovariance matrix to recognize directions at which the Fourier transform of a function is slowly decreasing, which provides us with a technique to detect singularities in images. In very high dimensions, we show how the wavelet packet best-basis algorithm can be used to compute these eigenvalues approximately, at relatively low computational complexity. Y. Y. Tang et al. (Eds.): WAA 2001, LNCS 2251, p. 3, 2001. c © Springer-Verlag Berlin Heidelberg 2001
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