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Signal and image denoising using quantum adaptive transformation.
Singular value thresholding for denoising time-resolved microscopy
Video Denoising using Low Rank Matrix completion
Denoising by Quantum Interactive Patches
An Autoencoder Model to Create New Data Using Noisy and Denoised Images Corrupted by the Speckle, Gaussian, Poisson, and impulse Noise.
This Matlab code is used to add the Poisson Noise to images.
This project focuses on enhancing brain CT scans by reducing acquisition noise using a CNN-based autoencoder, followed by tumor detection on the refined image
A C++ implementation of SK-tau-ROCK methods for stochastic chemical kinetics
[m1ds][project] Hyperspectral unmixing with Poisson noise
Comparison of principles for the selection of the regularization parameter in image restoration variational models under Poisson degradation.
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