Multiresolution analysis with decimated wavelet transform for image zooming

Frederic Nicolier; Frederic Truchetet

doi:10.1117/12.408667

4 December 2000 Multiresolution analysis with decimated wavelet transform for image zooming

Proceedings Volume 4119, Wavelet Applications in Signal and Image Processing VIII; (2000) https://doi.org/10.1117/12.408667
Event: International Symposium on Optical Science and Technology, 2000, San Diego, CA, United States

Abstract

Blurred images are produced by interpolation process. A wavelet-based magnification method is proposed that both increases the resolution of an image and adds local high- frequency information, in order to provide digitally zoomed images with sharp edges. 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 image. The prediction is based on a zero-crossings representation and on the construction of a multiscale edge-signature database. Performances are evaluated for synthetic and noisy images. A significant improvement regarding some classical methods is observed.

Citation Download Citation

Frederic Nicolier and Frederic Truchetet "Multiresolution analysis with decimated wavelet transform for image zooming", Proc. SPIE 4119, Wavelet Applications in Signal and Image Processing VIII, (4 December 2000); https://doi.org/10.1117/12.408667

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