Overview

This project implements a single-image haze removal technique using the Dark Channel Prior, as described in the research paper: Single Image Haze Removal Using Dark Channel Prior The dehazing algorithm is designed to enhance the quality of images affected by haze. This method is effective for various applications in image processing where haze reduction is required.

Introduction

Haze removal is essential for enhancing image clarity and visibility in outdoor scenes, improving the performance of vision-based applications.

Research Paper

Before and After Examples

Original Image	Dehazed Image

Live Demo

Try the dehazing app live at Hugging Face:

Visit DeFogify in 🤗 space

Installation

Ensure you have the required Python packages installed. Dependencies are listed in the requirements.txt file.

To install the required packages, use:

pip install -r requirements.txt

Future Work

Video Dehazing: Extend support for video processing.