Image Denoising
topic on 1 show · 2 statements across 1 episodes
the Y Combinator Startup Podcast
2 statements about Image Denoising, every show
Schönlieb: Handcrafted image models provide mathematical proofs and error estimates
“We can prove properties about the denoising abilities of these methods of how stable they are, for instance, to perturbations in the images. We know how that works, so we can prove things about that. We have error estimates and things like this.”
Schönlieb: Deep neural networks outperform handcrafted methods in image denoising
“Image denoising nowadays, I think the best image denoising approaches are actually coming from deep neural networks. So, you know, these handcrafted methods get more and more beaten in terms of performance. By some of these neural network approaches.”