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Image Dehazer

Welcome to Image Dehazer, a Python tool for removing haze from images. This repository provides a comprehensive solution for enhancing the clarity and quality of hazy images.


Features

  • Removal of haze from images using a guided filter-based algorithm.
  • Graphical user interface (GUI) for easy selection and processing of images.
  • Sample input images provided for testing the tool.

File Structure

The repository is organized as follows:

  • gf.py: Contains functions for guided filtering.

  • haze_remover.py: Implements the haze removal algorithm using guided filtering.

  • main.py: Provides a graphical user interface (GUI) for selecting and processing images.

  • Sample Input Images: Provides the images for testing and demonstration.

  • img/: Directory containing sample input images (src.jpg, dark.jpg, trans.jpg, gtrans.jpg) and the resulting dehazed image (dst.jpg).

    1. src.jpg: Original hazy image, serving as input for haze removal.
    2. dark.jpg: Dark channel prior of the original hazy image.
    3. trans.jpg: Estimated transmission map of the original hazy image.
    4. gtrans.jpg: Alternative transmission map estimation for comparison.
    5. dst.jpg: Resulting dehazed image after applying Image Dehazer algorithm.

  • dehazed.jpg: Resulting dehazed image after processing using the tool.

  • requirements.txt: To specify the dependencies required by the project.


Installation

Getting started with Image Dehazer is simple. Follow these steps to set up the tool on your machine:

  1. Clone Repository: Clone this repository to your local machine:
    git clone https://github.com/Danish-Jamil-01/Image-Dehazer.git

  1. Navigate to Directory: Move into the cloned repository directory:
    cd Image-Dehazer

  1. Install Dependencies: Install the required dependencies using pip:
    pip install -r requirements.txt

Parameters by default

  • radius=7
  • omega=0.95
  • t0=0.1
  • r=20
  • eps=0.001

Usage

After installing the dependencies, you can use the Image Remover Tool as follows:

  1. Run Script: Execute the main.py script to launch the graphical user interface (GUI):
    python main.py

  1. Select Image: Use the GUI to select an image for haze removal. Alternatively, you can manually enter the image path.

  2. Process Image: Click the "Submit" button to initiate the haze removal process. The tool will display the dehazed image in the GUI.

  3. Save Output: The dehazed image will be saved as dehazed.jpg in the repository directory.


Demo

Input:

Output:


Contributing

Contributions to this project are welcome. Feel free to open an issue or submit a pull request.

References


License

This project is licensed under the MIT License.