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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2023 NCKU Image Processing Homework Code
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