AI RESEARCH
Adaptive double-phase Rudin--Osher--Fatemi denoising model
arXiv CS.CV
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ArXi:2510.04382v2 Announce Type: replace-cross Even though than 30 years have passed since the seminal Rudin--Osher--Fatemi (ROF) paper on total variation (TV) denoising, it remains relevant, in particular in scientific applications such as astronomical imaging. However, it is known to suffer from artifacts such as the staircasing effect. Many variants of the model have been proposed with the aim of countering this.