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» Discrete Denoising with Shifts
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PR
2007
136views more  PR 2007»
13 years 6 months ago
Image denoising with complex ridgelets
In this paper, we propose a novel image denoising method by incorporating the dual-tree complex wavelets into the ordinary ridgelet transform. The approximate shift invariant prop...
Guangyi Chen, Balázs Kégl
TIP
2010
124views more  TIP 2010»
13 years 5 months ago
The Discrete Shearlet Transform: A New Directional Transform and Compactly Supported Shearlet Frames
It is now widely acknowledged that analyzing the intrinsic geometrical features of the underlying image is essential in many applications including image processing. In order to a...
Wang-Q Lim
CVPR
2010
IEEE
14 years 3 months ago
Manifold Blurring Mean Shift Algorithms
We propose a new family of algorithms for denoising data assumed to lie on a low-dimensional manifold. The algorithms are based on the blurring mean-shift update, which moves each...
Weiran Wang, Miguel Carreira-perpinan
ICIP
2005
IEEE
14 years 9 months ago
Estimating sub-pixel shifts directly from the phase difference
In this paper, we establish the exact relationship between the continuous and the discrete phase-difference of two shifted images, and show that their discrete phase difference is...
Murat Balci, Hassan Foroosh
TIP
2008
108views more  TIP 2008»
13 years 7 months ago
Phase-Shifting for Nonseparable 2-D Haar Wavelets
In their recent paper, Alnasser and Foroosh derive a wavelet-domain (in-band) method for phase-shifting of 2-D "nonseparable" Haar transform coefficients. Their approach ...
Mais Alnasser, Hassan Foroosh