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.

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

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

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.

The project suggests a dehazing pipeline using image processing that has proven to be effective in removing haze and enhancing the quality of hazy images.

HazeSpace2M is a large scale paired hazy dataset for training and evaluating haze type classification models and single image dehazing models.

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.

Enhancing Underwater Vision: GANs & Transformers for Dehazing and Object Detection

Single Image Dehazing with Convolutional Vision Transformer (CVT)

Haze Removal Network using unified function for image dehazing

🌫️ Haze Removal with Dark Prior Channel 🌫️ "We’re tackling hazy images using the Dark Prior Channel method, which clears haze, dust, and fog by analyzing pixel intensity. 🚀 While we’ve seen promising results, limited resources impact our full dehazing capability. 🖼️✨ Our work enhances image clarity and contributes to haze removal techniques."

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.

Single image dehazing via an improved atmospheric scattering model

[TVT 2023] Haze Visibility Enhancement for Promoting Traffic Situational Awareness in Vision-Enabled Intelligent Transportation

Code of the following paper: He, K., Sun, J., & Tang, X. (2010). Single image haze removal using dark channel prior. IEEE transactions on pattern analysis and machine intelligence, 33(12), 2341-2353

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

The official code of the IEEE Access paper Multiple Adverse Weather Removal Using Masked-Based Pre-Training and Dual-Pooling Adaptive Convolution (MPDAC)

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