Módulos de Pre-procesamiento de Imágenes para aplicaciones subacuáticas

Pytorch implementation of "Multi-scale Single Image Dehazing using Perceptual Pyramid Deep Network"

CNN Object Detection (MobileNet) , Dehazing (AOD-NET) on Caffe,UP Square Board, Movidus Neural Compute Stick.

[VISAPP2017] Dehazing using Non-Local Regularization with Iso-Depth Neighbor-Fields

Pytorch implementation of AOD-Net : All-in-One Network for Dehazing - ICCV2017

This preoject is for our paper SINGLE IMAGE HAZE REMOVAL VIA JOINT ESTIMATION OF DETAIL AND TRANSMISSION

Official repository for the paper "Image Dehazing via Joint Estimation of Transmittance Map and Environmental Illumination"

Solution for NTIRE2018 Image Dehazing Challenge & ACCV2018 Kangfu Mei et al.

AOD Net keras implementation

Recursive Image Dehazing via Perceptually Optimized Generative Adversarial Network

Recursive Deep Residual Learning for Single Image Dehazing (DRL)

Official tensorflow implementation of "DHSGAN: An End to End Dehazing Network for Fog and Smoke"

Improve performance of PWC-Net in foggy scenes

ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction

C++ codes for the paper "A Fast Single Image Haze Removal Algorithm using Color Attenuation Prior"

Unofficial PyTorch implementation of Enhanced Single Image Dehazing with Attention-to-Attention Generative Adversarial Network

PyTorch implementation for Image Denoising and Image Dehazing

Radiance-Reflectance Combined Optimization and Structure-Guided L0-Norm for Single Image Dehazing

Densely Connected Pyramid Dehazing Network (CVPR'2018)

This is the MATLAB source code of a haze removal algorithm, which dehazes a hazy input image using simple image enhancement techniques, such as detail enhancement, gamma correction, and single-scale image fusion.