Noise Removal from Images by Projecting onto Bases of Principal Components.
Bart GoossensAleksandra PizuricaWilfried PhilipsPublished in: ACIVS (2007)
Keyphrases
- principal components
- noise removal
- principal component analysis
- edge detection
- edge preservation
- gaussian noise
- dimensionality reduction
- denoising
- spectral data
- image enhancement
- noise reduction
- feature set
- anisotropic diffusion
- error rate
- linear features
- scanned images
- image analysis
- object recognition
- signal dependent
- covariance matrix
- test images
- input image
- digital images
- noisy images
- image noise
- image details
- image restoration
- feature extraction