Dehazing is a process of removal of haze from the photography of a hazy scene. The method adopted here is using Contextual Regularization.

Dehazing enhances surveillance and remote sensing by improving image clarity for better detection and analysis.

Implementation of All-In-One-Dehazing Network in Tensorflow V2.

NTIRE-2021-Dehazing-Two-branchをGoogle Colaboratory上で推論実行するサンプル

In this Project, important algorithms such as Canny Edge Detection, Harris Corner Detection, Segmentation, and Dehazing are utilized. These algorithms perform operations like detecting edges and corners in images, segmenting different regions, and enhancing foggy or blurred images.

Enhancing satellite image clarity by removing haze using AOD-Net's deep convolutional and residual architectures

Enhancing satellite image clarity by removing haze using AOD-Net's deep convolutional and residual architectures

Single image dehazing via an improved atmospheric scattering model

Source code for book "Image algorithms for low-level vision tasks" (Jia. 2024)

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

This is a MATLAB source code of the enhanced equidistribution, which guarantees that the generated random sequence follows the theoretical uniform distribution.

An Improved Air-Light Estimation Scheme for Single Haze Images Using Color Constancy Prior.

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

Gated Fusion Network for Degraded Image Super-Resolution (IJCV 2020).

Region-Based Dehazing via Dual-Supervised Triple-Convolutional Network

This is an improved version of the deblurring of faces. It shows about 5% increase in SSIM metric in comparison with the original methods. Tweaked the existing dehazing algorithms to work for deblurring.

Improve performance of PWC-Net in foggy scenes

Módulos de Pre-procesamiento de Imágenes para aplicaciones subacuáticas

A python project to desmoke/dehaze image from the selected directory with human being and animal detection for the rescue operation during fire outbreaks or disasters etc. It can also be used for the normal dehazing operation on images.