Generalized Analytic Signals in Image Processing: Comparison, Theory and Applications
By S. Bernstein, Jean-Luc Bouchot, Martin Reinhardt, B. Heise. 2013
40 citations recorded by the source corpus.
Subfields: Applied Mathematics, Computer Vision and Pattern Recognition
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Applied Mathematics
- Simon Lacoste-Julien
- Matthew B. Blaschko
- Eugene Belilovsky
- Sergey Zagoruyko
- Gabriel Huang
- Nikos Komodakis
- Edouard Oyallon
In Computer Vision and Pattern Recognition
- Andrea Vedaldi
- Luc Van Gool
- Andrew Zisserman
- Dacheng Tao
- Xiaogang Wang
- Cordelia Schmid
- Trevor Darrell
- Jitendra Malik
Citations in the corpus
- Scattering Networks for Hybrid Representation Learning (2018, background): “Here, the mother wavelet is analytic, thus jW1xj is regular [5] which implies that the energy of jW1xj in the Fourier domain is more likely to be contained in a lower frequency regime than W1x.”
- Scaling the Scattering Transform: Deep Hybrid Networks (2017, positive): “Here, the mother wavelet is analytic, thus |W1x| is regular [1] which implies that the energy in Fourier of |W1x| is more likely to be contained in a lower frequency domain than W1x.”