Tri-Fusion Image Processing Toolkit

Key Objectives:

• Provide a web-based platform for essential image processing operations.
• Simplify complex image processing techniques for non-expert users.
• Offer a robust set of tools for both basic and advanced image manipulation.

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Features

• Image Sharpening and Smoothing:
  • Apply various filters to enhance or smooth image quality.
• Basic Image Transformations:
  • Implement common transformations such as rotation, scaling, and cropping.
• Morphological Operations:
  • Perform dilation, erosion, opening, and closing operations on images.
• Interactive Interface:
  • Select and apply tasks through an intuitive web interface built with Streamlit.
• Real-time Processing:
  • View and interact with processed images in real-time.

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Usage

1. Open the web interface of the toolkit.
2. Upload an image from your local storage.
3. Select the desired image processing task (e.g., sharpening, smoothing).
4. Adjust the operation parameters using the sliders.
5. Preview the processed image instantly and download the result.

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Technologies Used

• Languages: Python
• Framework: Streamlit
• Libraries:
  • OpenCV (image processing)
  • NumPy (numerical operations)
  • Pillow (image manipulation)
  • Matplotlib (visualization)

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Project Author

Agam Gupta || Deepak || Aryan Shukla
MSc Computer Science, Delhi University