Abstract
Wavelet transforms computed by the decimated Mallat's algorithm present pyramidal aspect. This pyramidal analysis combined with a prediction of high-frequency coefficients is used to produce a magnified signal. The prediction is based on a zero-crossings representation and on the construction of a multiscale edge-signature database. Performances are evaluated for synthetic-noisy and natural images. A improvement regarding some classical methods is observed.
Cite
CITATION STYLE
Nicolier, F., & Truchetet, F. (2000). Image magnification using decimated orthogonal wavelet transform. In IEEE International Conference on Image Processing (Vol. 2, pp. 355–358). IEEE Computer Society. https://doi.org/10.1109/icip.2000.899389
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