Electronic Imaging Conference Notes, 24-Jan-2011

24-Jan-2011

Eigenspace
http://en.wikipedia.org/wiki/Eigenvalues_and_eigenvectors

Gabor filter bank
a linear filter used for edge detection
http://en.wikipedia.org/wiki/Gabor_filter

mean-shift clustering technique
a non-parametric feature-space analysis technique[1]. Application domains include clustering in computer vision and image processing[2].
http://en.wikipedia.org/wiki/Mean-shift

Anisotropic Diffusion
“a technique aiming at reducing image noise without removing significant parts of the image content, typically edges, lines or other details”
http://en.wikipedia.org/wiki/Anisotropic_diffusion

Bilateral filters
“A bilateral filter is an edge-preserving and noise reducing smoothing filter”
http://en.wikipedia.org/wiki/Bilateral_filter

Moving Least Squares.
“Moving least squares is a method of reconstructing continuous functions from a set of unorganized point samples”
http://en.wikipedia.org/wiki/Moving_least_squares

Non-local means.
[Buades et al. ‘05]

LARK - Locally Adaptive Regression Kernel
Denoise algorithms: LARK, BM3D, KVSD

Markov Chains
http://en.wikipedia.org/wiki/Markov_chain

Wiener Filter
“reduce the amount of noise present in a signal by comparison with an estimation of the desired noiseless signal.”
http://en.wikipedia.org/wiki/Wiener_filter

Twicing (Tukey, 1977)

MMSE - Minimum Mean Squared Error
http://en.wikipedia.org/wiki/Minimum_mean_square_error

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Conference 7867. "Image Quality and System Performance"

Quality Attribute Tree

Registration - translation, rotation, scaling

"Survey of full-reference image quality metrics"
by: M. Pedersen, J. Y. Hardeberg