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Digital-Image-Processing-Algorithms

SJTU CS386 Digital Image Processing course project

Contents:

  • Project 1: Histogram Equalization
  • Project 2: Enhance Images with Spatial Filters
  • Project 3: Fourier Transform & Filtering in Frequency Domain
  • Project 4: Noise Models & Noise Reduction
  • Project 5: Image Restoration with Inverse Filter & Wiener Filter
  • Project 6: Geometric Transform with Nearest Neighbor and Bilinear Interpolation Methods
  • Project 7: Image Compression based on Discrete Cosine Transform & Wavelet Transform
  • Project 8: Morpholigical Processing
  • Project 9: Edge Detection (Roberts, Prewitt, Sobel, Marr-Hildreth and Canny edge detector) & Image Segmentation (Otsu’s method)
  • Project 10: Image Representation (boundary following & chain code) & Description by Principal Components

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