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Non-linear aggregation of filters to improve image denoising

2019-04-01Code Available0· sign in to hype

Benjamin Guedj, Juliette Rengot

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Abstract

We introduce a novel aggregation method to efficiently perform image denoising. Preliminary filters are aggregated in a non-linear fashion, using a new metric of pixel proximity based on how the pool of filters reaches a consensus. We provide a theoretical bound to support our aggregation scheme, its numerical performance is illustrated and we show that the aggregate significantly outperforms each of the preliminary filters.

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