-
technique to thin the
detected edge is
developed by
Mallat S and Zhong.
Curvelets have been used in
place of the
Gaussian filter and
gradient estimation...
- straight.
Curvelets take
advantage of this property, by
defining the
higher resolution curvelets to be more
elongated than the
lower resolution curvelets. However...
- theory. In his PhD thesis, he
developed generalizations of
wavelets called curvelets and
ridgelets that were able to
capture higher order structures in signals...
-
ending in -let, from
activelets to x-lets
through bandlets, contourlets,
curvelets, noiselets, wedgelets. The
Fractional Spline Wavelet Transform describes...
- multiscale, directional, geometric, representations, from
activelets to x-lets
through bandelets, chirplets, contourlets,
curvelets, noiselets,
wedgelets ......
-
other fusion methods are also there, such as
Laplacian pyramid based,
curvelet transform based etc.
These methods show a
better performance in spatial...
- Plonka,
German mathematician known for her work on
refinable functions and
curvelets Eileen Poiani,
American mathematician,
first woman to
teach mathematics...
- to take
account of
geometric structure were
taken for
contourlets and
curvelets.
Wavelet Multiresolution analysis Scale space Le Pennec, E.; Mallat, S...
- in
color images "Context
adaptive image denoising through modeling of
curvelet domain statistics" (PDF).
Archived (PDF) from the
original on 2016-03-04...
- and
image processing, and
known for her work on
refinable functions and
curvelets. She is a
professor at the
University of Göttingen, in the
Institute for...
