Metadata-Version: 2.4
Name: adrishyam
Version: 0.1.0
Summary: A Python package for image dehazing using Dark Channel Prior
Home-page: https://github.com/Krushna-007/adrishyam
Author: Krushna Parmar, Saumya Gohil
Author-email: parmarkrushna7@gmail.com, gohilsaumya16@gmail.com
Keywords: image-processing dehazing dark-channel-prior computer-vision
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering :: Image Processing
Classifier: Development Status :: 4 - Beta
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy>=1.24.0
Requires-Dist: pillow>=10.0.0
Requires-Dist: matplotlib>=3.7.0
Requires-Dist: scipy>=1.10.0
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
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Dynamic: keywords
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# Adrishyam

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

## Installation

```bash
pip install adrishyam
```

## Usage

```python
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 
