VOW: Variance-Optimal Wavelets for the Steerable Pyramid

We study the issue of localization in the context of isotropic wavelet frames. We define a variance-type measure of localization and propose an algorithm based on calculus of variations to minimize this criterion under the constraint of a tight wavelet frame. Based on these calculations, we design the variance-optimal wavelet (VOW). Finally, we demonstrate the advantage of better localization in a practical image-processing task.


Published in:
Proceedings of the 2014 IEEE International Conference on Image Processing (ICIP'14), Paris, French Republic, 2973–2977
Year:
2014
Publisher:
IEEE
Laboratories:




 Record created 2015-09-18, last modified 2018-10-07

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