Author - Md Istiak Tanvir (eruddro@gmail.com) Asma Akter (asmaul9377@gmail.com)
Overview -
image-sharpner is a lightweight and efficient image enhancement library designed to improve edge clarity, restore fine textures, and enhance visual details through an adaptive multi-frequency sharpening technique. The package supports both grayscale and color images and works seamlessly with popular computer vision pipelines.
Key Features -
- Adaptive multi-frequency sharpening to enhance details without amplifying noise
- Preserves natural textures and avoids halo artifacts
- Works with underwater, low-light, and blurred images
- Fast, NumPy-based implementation compatible with OpenCV
- Easy integration into machine learning, deep learning, and image-processing workflows
Why Use This Package? Traditional sharpening filters often overshoot edges, create ringing artifacts, or boost noise in smooth regions.
Installation -
pip install image-sharpner
Usage Example -
from image_prep import image_sharpner
#Insert Image path -
image_sharpner('abc.jpg')
Supported Image Types - jpg/png/jpeg/webmp
Compatibility - Python 3.7+ NumPy OpenCV
License - MIT License
1 maintainer
Metadata
1 maintainer
Release files for image-sharpner 1.0.1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| image_sharpner-1.0.1.tar.gz | 4.9 kB | Without provenance | Details for image_sharpner-1.0.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| image_sharpner-1.0.1-py3-none-any.whl | Python 3 | none | any | Details for image_sharpner-1.0.1-py3-none-any.whl |
Total release size: 10.0 kB
Release files / image_sharpner-1.0.1.tar.gz
| Download URL | image_sharpner-1.0.1.tar.gz |
|---|---|
| Size | 4.9 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / image_sharpner-1.0.1-py3-none-any.whl
| Download URL | image_sharpner-1.0.1-py3-none-any.whl |
|---|---|
| Size | 5.1 kB |
| Tags | Python 3 |
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