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» The Domain of Orthogonal Transforms and the Understanding of...
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CVPR
2011
IEEE
13 years 2 months ago
What You Saw is Not What You Get: Domain Adaptation Using Asymmetric Kernel Transforms
In real-world applications, “what you saw” during training is often not “what you get” during deployment: the distribution and even the type and dimensionality of features...
Brian Kulis, Kate Saenko, Trevor Darrell
IJCV
2007
194views more  IJCV 2007»
13 years 7 months ago
Self-Invertible 2D Log-Gabor Wavelets
Orthogonal and biorthogonal wavelets became very popular image processing tools but exhibit major drawbacks, namely a poor resolution in orientation and the lack of translation inv...
Sylvain Fischer, Filip Sroubek, Laurent Perrinet, ...
ACIVS
2005
Springer
14 years 28 days ago
FPGA Design and Implementation of a Wavelet-Domain Video Denoising System
Multiresolution video denoising is becoming an increasingly popular research topic over recent years. Although several wavelet based algorithms reportedly outperform classical sing...
Mihajlo Katona, Aleksandra Pizurica, Nikola Teslic...
ICIP
2004
IEEE
14 years 9 months ago
Image coding with iterated contourlet and wavelet transforms
This paper presents a new coding technique based on a mixed contourlet and wavelet transform. The redundancy of the transform is controlled by using the contourlet at fine scales ...
Vivien Chappelier, Christine Guillemot, Slavica Ma...
VMV
2000
157views Visualization» more  VMV 2000»
13 years 8 months ago
Visualization of Principal Curvature Directions by Anisotropic Diffusion
Anisotropic diffusion is known to be a powerful tool in image processing. It enables the smoothing of initially noisy images while still retaining, respectively sharpening edges a...
Udo Diewald, Martin Rumpf