hwuscut

CSET

CSET (Compressed Sensing Electron Tomography)-toolbox is a three-dimensional TV-based compressed sensing reconstruction toolbox that consists of algebraic iterative algorithms (SART and SIRT) with total variation (TV) based CS. In addition, it integrates a Fast Iterative Shrinkage-Thresholding Algorithm (FISTA) that is an acceleration method to speed up the algorithm convergence.

MFDNet

MFDRN

Remote-Sensing-Infrared-Image-Dataset

The infrared images are captured by unmanned aerial vehicles.

SFDNet

SFDNet, constructed by MSFEM, LDEM and CPAM, can help solve the color bias and detail blurring problems in underwater images resulting from light scattering and absorption effects.

SRMD-pytorch

A PyTorch Implementation of "Learning a Single Convolutional Super-Resolution Network for Multiple Degradations"

Underwater-Image-Object-Detection-Dataset

hwuscut/MFDRN

hwuscut/CSET

CSET (Compressed Sensing Electron Tomography)-toolbox is a three-dimensional TV-based compressed sensing reconstruction toolbox that consists of algebraic iterative algorithms (SART and SIRT) with total variation (TV) based CS. In addition, it integrates a Fast Iterative Shrinkage-Thresholding Algorithm (FISTA) that is an acceleration method to speed up the algorithm convergence.

hwuscut/MFDNet

hwuscut/Remote-Sensing-Infrared-Image-Dataset

The infrared images are captured by unmanned aerial vehicles.

hwuscut/SFDNet

SFDNet, constructed by MSFEM, LDEM and CPAM, can help solve the color bias and detail blurring problems in underwater images resulting from light scattering and absorption effects.

hwuscut/SRMD-pytorch

A PyTorch Implementation of "Learning a Single Convolutional Super-Resolution Network for Multiple Degradations"

hwuscut/Underwater-Image-Object-Detection-Dataset