GitHub topics: poisson-noise
FS-CodeBase/DeepLearning_for_low_resolution_photon_limited_imaging
Implementation of architectures presented in "Deep Neural Networks for Low-resolution Photon-limited Imaging"
Language: Jupyter Notebook - Size: 1.28 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

tjof2/pgure-svt
Singular value thresholding for denoising time-resolved microscopy
Language: C++ - Size: 7.59 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 11 - Forks: 4

DEVANSH-DVJ/Video-denoising
Video Denoising using Low Rank Matrix completion
Language: MATLAB - Size: 142 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 7 - Forks: 0

SayantanDutta95/QAB-denoising
Signal and image denoising using quantum adaptive transformation.
Language: MATLAB - Size: 239 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 5 - Forks: 3

SayantanDutta95/De-QuIP-Denoising
Denoising by Quantum Interactive Patches
Language: MATLAB - Size: 1.75 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 1

juliennonin/project-source-separation
[m1ds][project] Hyperspectral unmixing with Poisson noise
Language: Python - Size: 1.47 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

mohamadmomeny/Create-New-Data-Using-Denoised-Images
An Autoencoder Model to Create New Data Using Noisy and Denoised Images Corrupted by the Speckle, Gaussian, Poisson, and impulse Noise.
Language: Python - Size: 30.3 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 2

grosilho/sk-tau-rock_methods
A C++ implementation of SK-tau-ROCK methods
Language: C++ - Size: 1.09 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

jithinkc22j/Image_Poisson_Noise
This Matlab code is used to add the Poisson Noise to images.
Language: HTML - Size: 179 KB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 0
