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.

Research Paper

Introduction

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

Features

• Single Image Dehazing
  Process one image at a time to remove haze and bring out hidden details using the Dark Channel Prior.
• Bulk Image Dehazing
  Process multiple images simultaneously. This feature is perfect for efficiently dehazing an entire batch of images.
• Video Dehazing
  Dehaze video files by processing each frame individually to ensure a clear and detailed output even for moving visual content.

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

For Ubuntu/Debian-based systems, also install:

sudo apt-get update
sudo apt-get install libgl1-mesa-glx