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Bug Skin Image Preprocessing

This project demonstrates a basic image preprocessing pipeline for bug-skin microscopy/tomography images.

The pipeline includes:

  1. Sharpness detection using the variance of the Laplacian
  2. Selection of the sharpest frames from rotation-angle windows
  3. Synthetic blur generation for supervised image restoration
  4. Patch extraction for creating machine learning training pairs

Project Structure

bug-skin-image-preprocessing/
├── notebooks/
│   └── Image_preprocessing.ipynb
├── sample_png/
├── outputs/
├── requirements.txt
└── README.md

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Image preprocessing pipeline for bug-skin microscopy images — sharpness detection, frame selection, synthetic blur generation, and patch extraction to create ML training pairs for supervised image restoration.

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