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# Digital-Image-Processing-Algorithms
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SJTU CS386 Digital Image Processing course project
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Contents:
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- Project 1: Histogram Equalization
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- Project 2: Enhance Images with Spatial Filters
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- Project 3: Fourier Transform & Filtering in Frequency Domain
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- Project 4: Noise Models & Noise Reduction
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- Project 5: Image Restoration with Inverse Filter & Wiener Filter
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- Project 6: Geometric Transform with Nearest Neighbor and Bilinear Interpolation Methods
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- Project 7: Image Compression based on Discrete Cosine Transform & Wavelet Transform
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- Project 8: Morpholigical Processing
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- Project 9: Edge Detection (Roberts, Prewitt, Sobel, Marr-Hildreth and Canny edge detector) & Image Segmentation (Otsu’s method)
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- Project 10: Image Representation (boundary following & chain code) & Description by Principal Components

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