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Image Denoising using Angular Packet Representation

M. El Aallaoui, A. El Bouhtouri , A. Ayadi


We describe a new method for removing noise from digital images based on the select of the best angular decomposition for image denoising. We propose a new representation that we namely call the angular packet representation, defined by a recursive directional decomposition. The result is a dictionary of different tight frames, which provides a theoretical tool to select a best representation for image denoising by minimizing an estimated error to improve image denoising.

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