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Targeted Iterative Filtering

2026-08-23 08:49:08
Freddie {\AA}str\"om, Michael Felsberg, George Baravdish, Claes Lundstr\"om
arXiv_CV
           
Abstract

The assessment of image denoising results depends on the respective application area, i.e. image compression, still-image acquisition, and medical images require entirely different behavior of the applied denoising method. In this paper we propose a novel, nonlinear diffusion scheme that is derived from a linear diffusion process in a value space determined by the application. We show that application-driven linear diffusion in the transformed space compares favorably with existing nonlinear diffusion techniques.

Abstract (translated)

URL

https://arxiv.org/abs/2608.22299

PDF

https://arxiv.org/pdf/2608.22299.pdf

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