Color Image Denoising
27 papers with code • 61 benchmarks • 8 datasets
Benchmarks
These leaderboards are used to track progress in Color Image Denoising
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Datasets
BSD
Urban100
CBSD68
McMaster
Cell
RENOIR
Fingerprint inpainting and denoising
Latest papers with no code
Dilated Deep Residual Network for Image Denoising
It has been proven that the expansion of receptive field can boost the CNN performance in image classification, and we further demonstrate that it can also lead to competitive performance for denoising problem.
Impulsive noise removal from color images with morphological filtering
This paper deals with impulse noise removal from color images.
Multi-channel Weighted Nuclear Norm Minimization for Real Color Image Denoising
Most of the existing denoising algorithms are developed for grayscale images, while it is not a trivial work to extend them for color image denoising because the noise statistics in R, G, B channels can be very different for real noisy images.
On the Relation between Color Image Denoising and Classification
Inspired by classification models, we propose a novel deep learning architecture for color (multichannel) image denoising and report on thousands of images from ImageNet dataset as well as commonly used imagery.
Non-Local Color Image Denoising with Convolutional Neural Networks
We propose a novel deep network architecture for grayscale and color image denoising that is based on a non-local image model.
Bayesian Inference for Neighborhood Filters With Application in Denoising
Range-weighted neighborhood filters are useful and popular for their edge-preserving property and simplicity, but they are originally proposed as intuitive tools.
Color image denoising by chromatic edges based vector valued diffusion
In this letter we propose to denoise digital color images via an improved geometric diffusion scheme.
