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2023 NCKU Image Processing Project Code

Including several common image-processsing implementation

Features

Image Processing Technique Description
Principal Component Analysis(PCA) Decomposite X=C*Y+d, which extracts principal component out out matrix
k-means Use kmeans clustering that partitions image into k clusters
superpixels Reduce pixels count of image, and still have the major data info kept
Non-Negative Matrix Factorization(NMF) Try to recover masked hyper-spectral image with interpolation
2D DFT-denoise Use Discrete Fourier Transform to recover noise-polluted image

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