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.