# Non-linear aggregation of filters to improve image denoising

arXiv: https://arxiv.org/abs/1904.00865 · HTML: https://mlsanity.com/paper/1904.00865/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 1 Apr 2019.

## Built on by (most cited first, 1 of 1)

- [Consensual Aggregation on Random Projected High-dimensional Features for Regression](https://mlsanity.com/paper/2204.02606/) (2022)

## Abstract (arXiv)

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.