Use of blur-space for deblurring and edge-preserving noise smoothing.
John ImmerkaerPublished in: IEEE Trans. Image Process. (2001)
Keyphrases
- edge preserving
- image restoration
- image prior
- smoothing algorithm
- noise reduction
- smoothing filter
- image deconvolution
- image smoothing
- blurred images
- edge preserving regularization
- image deblurring
- motion blur
- noise removal
- restored image
- image restoration problems
- edge preservation
- spatially varying
- anisotropic diffusion
- sharp edges
- kernel estimation
- gaussian noise
- edge preserving smoothing
- degraded images
- point spread function
- blur kernel
- nonlinear diffusion
- regularization methods
- wiener filter
- shift invariant
- blind deconvolution
- camera shake
- least squares
- speckle noise
- noise level
- edge detection
- super resolution
- signal to noise ratio
- motion deblurring
- half quadratic
- linear shift invariant
- bilateral filter
- total variation
- bilateral filtering
- shift variant
- regularization parameter
- markov random field
- impulse noise
- median filter
- image processing
- noise model
- maximum a posteriori
- denoising
- computer vision