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Digital image processing (THU Spring 2017-2018)

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dip2018

Digital image processing (THU Spring 2017-2018)

HW1

  1. Point processing
    1. Brightness
    2. Contrast
    3. Gamma
    4. Histogram Equalization
    5. Histogram Matching
  2. Image fusion
    1. Poisson Image Editing
  3. Face Morphing

For more information, please look at 1/report.pdf

HW2

Few-Shot Learning

Given first 50 classes of image in CALTECH256, 10 images per class, and an AlexNet pretrained model, outperform better than fine-tune baseline which tests in other images of 50 classes.

For more information, please look at 2/report/report.pdf

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Digital image processing (THU Spring 2017-2018)

License:MIT License

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