Signal denoising based on the Schrödinger operator's eigenspectrum and a curvature constraint.
Peihao LiTaous-Meriem Laleg-KiratiPublished in: IET Signal Process. (2021)
Keyphrases
- denoising
- heat kernel
- heat equation
- laplace beltrami
- wiener filter
- hamilton jacobi
- wave equation
- distance transform
- frequency domain
- denoising methods
- image denoising
- wavelet packet
- translation invariant
- wavelet based denoising
- image smoothing
- scale space
- total variation
- eikonal equation
- image processing
- wavelet shrinkage
- noisy images
- partial differential equations
- additive gaussian noise
- wavelet domain
- gaussian noise
- denoising algorithm
- natural images
- gaussian white noise
- steady state
- basis pursuit
- noise removal
- multiscale
- signal processing
- non stationary
- hard thresholding
- graph laplacian
- medial axis
- wavelet denoising
- nonlinear diffusion
- level set method
- shape analysis
- fourier transform
- proximal point algorithm
- spectral analysis
- zero crossing
- image restoration