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eess.IV2020
NoiseBreaker: Gradual Image Denoising Guided by Noise Analysis
Florian Lemarchand, Erwan Nogues, Maxime Pelcat
Fully supervised deep-learning based denoisers are currently the most performing image denoising solutions. However, they require clean reference images. When the target noise is c…
eess.IV2019
OpenDenoising: an Extensible Benchmark for Building Comparative Studies of Image Denoisers
Florian Lemarchand, Eduardo Fernandes Montesuma, Maxime Pelcat +1
Image denoising has recently taken a leap forward due to machine learning. However, image denoisers, both expert-based and learning-based, are mostly tested on well-behaved generat…