Image Enhancer using Python

A Python-based desktop application for enhancing and processing images using traditional image-processing techniques.

Image Enhancer provides an easy-to-use graphical interface for working with images and improving their visual quality using Python libraries such as OpenCV, Pillow, and NumPy.

Note: Image Enhancer does not use Artificial Intelligence, Machine Learning, or Deep Learning. It is built using conventional image-processing techniques.

• 🖼️ Image enhancement and processing
• 🖥️ Simple graphical user interface using Tkinter
• 🔧 Image processing with OpenCV
• 🛠️ Image manipulation using Pillow
• 🔢 Numerical image operations using NumPy
• 📜 Enhancement history stored in JSON format
• 💾 Easy image processing workflow

Image Enhancer/
│
├── Image Enhancer.py
├── enhancement_history.json
├── requirements.txt
├── .gitignore
├── LICENSE
└── README.md

git clone https://github.com/nilanjanlu07-dot/Image-Enhancer-using-Python.git

cd Image-Enhancer-using-Python

pip install -r requirements.txt

Run the main Python file:

python "Image Enhancer.py"

The Tkinter-based application will launch on your desktop.

EnhanceIT follows a simple image-processing workflow:

Input Image
 │
 ▼
Load Image
 │
 ▼
Image Processing
 │
 ▼
Enhancement Operations
 │
 ▼
Preview / Output
 │
 ▼
Save Enhanced Image

The application uses Python-based image-processing libraries to perform operations on the selected image.

Enhancement information is maintained in:

enhancement_history.json

This allows the application to keep track of relevant image-enhancement activity.

Possible future improvements include:

• More image-processing controls
• Additional enhancement options
• Batch image processing
• Better user interface
• Image comparison before and after enhancement
• More export and image-format options

This project is licensed under the GNU General Public License v3.0.

See the LICENSE file for more information.

Nilanjan Das

GitHub: @nilanjanlu07-dot

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