adrishyam 0.1.0

A Python package for image dehazing using Dark Channel Prior

Adrishyam

A Python package for image dehazing using Dark Channel Prior algorithm.

Installation

pip install adrishyam

Usage

from adrishyam import dehaze_image

# Basic usage
dehaze_image(
    input_path="path/to/hazy/image.jpg",
    output_dir="path/to/output/directory"
)

# Advanced usage with custom parameters
dehaze_image(
    input_path="path/to/hazy/image.jpg",
    output_dir="path/to/output/directory",
    t_min=0.1,  # Minimum transmission value (default: 0.1)
    patch_size=15,  # Size of the local patch (default: 15)
    omega=0.95,  # Dehazing strength (default: 0.95)
    radius=60,  # Filter radius for guided filter (default: 60)
    eps=0.01,  # Regularization parameter (default: 0.01)
    show_results=False  # Whether to display results (default: False)
)

Output

The package will create the following files in the output directory:

• original.png: Original hazy image
• dark_channel.png: Dark channel of the image
• transmission.png: Estimated transmission map
• refined_transmission.png: Refined transmission map
• dehazed.png: Final dehazed image
• result.png: Combined visualization of all steps

License

MIT License