Super-Resolution Using Adaptive Selectivity Representation

Aallaoui, Mohamed El (2020) Super-Resolution Using Adaptive Selectivity Representation. In: Recent Studies in Mathematics and Computer Science Vol. 4. B P International, pp. 33-49. ISBN 978-93-90206-12-4

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In this chapter, we discuss a novel framework for super-resolution (SR) and iterative interpolation
method based on wavelet and an adaptive selectivity representation. This representation is defined
by combining of laplacian pyramid and a multiselectivity decomposition. The result is new tight
frame for each angular selectivity level. This selectivity level can be adapted locally to the content of
the image for each scale; so it can be seen as an adaptive selectivity representation, which present
adaptively isotropic, directional and intermediary features in images. The Experimental results
demonstrate the effectiveness of the proposed approach.

Item Type: Book Section
Subjects: Eurolib Press > Mathematical Science
Depositing User: Managing Editor
Date Deposited: 11 Nov 2023 05:29
Last Modified: 11 Nov 2023 05:29

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