1 citations · 1 across the 4 of their papers we have counts for
4 papers
Multi Task Denoiser Training for Solving Linear Inverse Problems
Clément Bled, François Pitié
Plug-and-Play Priors (PnP) and Regularisation by Denoising (RED) have established that image denoisers can effectively replace traditional regularisers in linear inverse problem so…
ReTiDe: Real-Time Denoising for Energy-Efficient Motion Picture Processing with FPGAs
Changhong Li, Clément Bled, Rosa Fernandez +1
Denoising is a core operation in modern video pipelines. In codecs, in-loop filters suppress sensor noise and quantisation artefacts to improve rate-distortion performance; in cine…
Lightweight Video Denoising Using a Classic Bayesian Backbone
Clément Bled, François Pitié
In recent years, state-of-the-art image and video denoising networks have become increasingly large, requiring millions of trainable parameters to achieve best-in-class performance…
Pushing The Limits of the Wiener Filter in Image Denoising
Clément Bled, François Pitié
As modern image denoiser networks have grown in size, their reported performance in popular real noise benchmarks such as DND and SIDD have now long outperformed classic non-deep l…