1 research outputs found
Non-linear Aggregation of Filters to Improve Image Denoising.
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