Robuta

https://arxiv.org/html/2407.17399v1
real worldimage denoisingselfcalibratedvariance
https://scirp.org/journal/papercitationdetails?paperid=17686&JournalID=339
VisuShrink, ModineighShrink and NeighShrink are efficient image denoising algorithms based on the discrete wavelet transform (DWT). These methods have...
image denoisingimprovedmethodbasedwavelet
https://huggingface.co/papers/1911.07167
Join the discussion on this paper page
image denoisingpaperlidialightweightlearned
https://keras.io/examples/vision/autoencoder/
Keras documentation: Convolutional autoencoder for image denoising
image denoisingautoencoder
https://deepai.org/publication/robust-and-interpretable-blind-image-denoising-via-bias-free-convolutional-neural-networks
06/13/19 - Deep convolutional networks often append additive constant (
image denoisingrobustblindviabias
https://www.mdpi.com/2227-7080/11/4/111
Image denoising is a critical task in computer vision aimed at removing unwanted noise from images, which can degrade image quality and affect visual details.
image denoisingdeep learningusinghybridapproach
https://scirp.org/journal/papercitationdetails?paperid=22129&JournalID=339
The VisuShrink is one of the important image denoising methods. It however does not provide good quality of image due to removing too many coefficients...
new imagedenoisingschemeusingsoft
https://dblp.org/rec/conf/cvpr/AbdelhamedATBCZ20.html
Bibliographic details on NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results.
real imagedblpchallengedenoisingdataset