2023 NCKU Image Processing Project Code

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

Name		Name	Last commit message	Last commit date
Latest commit History 65 Commits
DFT-denoise		DFT-denoise
NMF-inpainting		NMF-inpainting
PCA		PCA
k-means		k-means
superpixels		superpixels
README.md		README.md