Browse > Computer Vision > Denoising > Image Denoising

Image Denoising

100 papers with code · Computer Vision
Subtask of Denoising

Image Denoising is the task of removing noise from an image, e.g. the application of Gaussian noise to an image.

( Image credit: Wide Inference Network for Image Denoising via Learning Pixel-distribution Prior )

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Latest papers with code

Pyramid Attention Networks for Image Restoration

28 Apr 2020SHI-Labs/Pyramid-Attention-Networks

Self-similarity refers to the image prior widely used in image restoration algorithms that small but similar patterns tend to occur at different locations and scales.

DEMOSAICKING IMAGE DENOISING SUPER-RESOLUTION

79
28 Apr 2020

Supervised Raw Video Denoising with a Benchmark Dataset on Dynamic Scenes

31 Mar 2020cao-cong/RViDeNet

Clean video frames for dynamic scenes cannot be captured with a long-exposure shutter or averaging multi-shots as was done for static images.

IMAGE DENOISING VIDEO DENOISING

34
31 Mar 2020

A Physics-based Noise Formation Model for Extreme Low-light Raw Denoising

28 Mar 2020Vandermode/NoiseModel

Lacking rich and realistic data, learned single image denoising algorithms generalize poorly to real raw images that do not resemble the data used for training.

IMAGE DENOISING

61
28 Mar 2020

Multiscale Sparsifying Transform Learning for Image Denoising

25 Mar 2020ashkan-abbasi66/MTLD

The effectiveness of the proposed methods are experimentally shown over two datasets: 1) classic test images corrupted with Gaussian noise, and 2) fluorescence microscopy images corrupted with real Poisson-Gaussian noise.

DICTIONARY LEARNING IMAGE DENOISING

1
25 Mar 2020

CycleISP: Real Image Restoration via Improved Data Synthesis

17 Mar 2020swz30/CycleISP

This is mainly because the AWGN is not adequate for modeling the real camera noise which is signal-dependent and heavily transformed by the camera imaging pipeline.

IMAGE DENOISING IMAGE RESTORATION

79
17 Mar 2020

Stochastic Frequency Masking to Improve Super-Resolution and Denoising Networks

16 Mar 2020sfm-sr-denoising/sfm

Super-resolution and denoising are ill-posed yet fundamental image restoration tasks.

IMAGE DENOISING IMAGE RESTORATION SUPER-RESOLUTION

31
16 Mar 2020

Gated Texture CNN for Efficient and Configurable Image Denoising

16 Mar 2020mdipcit/GTCNN

Convolutional neural network (CNN)-based image denoising methods typically estimate the noise component contained in a noisy input image and restore a clean image by subtracting the estimated noise from the input.

IMAGE DENOISING

1
16 Mar 2020

Learning Enriched Features for Real Image Restoration and Enhancement

15 Mar 2020swz30/MIRNet

With the goal of recovering high-quality image content from its degraded version, image restoration enjoys numerous applications, such as in surveillance, computational photography, medical imaging, and remote sensing.

IMAGE DENOISING IMAGE ENHANCEMENT IMAGE RESTORATION SUPER-RESOLUTION

22
15 Mar 2020

3D Quasi-Recurrent Neural Network for Hyperspectral Image Denoising

10 Mar 2020Vandermode/QRNN3D

In this paper, we propose an alternating directional 3D quasi-recurrent neural network for hyperspectral image (HSI) denoising, which can effectively embed the domain knowledge -- structural spatio-spectral correlation and global correlation along spectrum.

HYPERSPECTRAL IMAGE DENOISING IMAGE DENOISING

12
10 Mar 2020