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Non-linear aggregation of filters to improve image denoising

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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Dates and versions

hal-02086856 , version 1 (01-04-2019)
hal-02086856 , version 2 (01-10-2019)

Identifiers

  • HAL Id : hal-02086856 , version 2

Cite

Benjamin Guedj, Juliette Rengot. Non-linear aggregation of filters to improve image denoising. Computing Conference 2020, Jul 2020, London, United Kingdom. ⟨hal-02086856v2⟩
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