On the estimation of the coefficient of variation for anisotropic diffusion speckle filtering
By S. Aja‐Fernández, Carlos Alberola-López. IEEE Transactions on Image Processing, 2006
315 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Media Technology
View Paper: https://www.semanticscholar.org/paper/247bc290c32f686f933a8636653f5dbe7adb990b
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In Computer Vision and Pattern Recognition
- Gabriele Steidl
- Tanja Teuber
- Kirby G. Vosburgh
- Carl-Fredrik Westin
- Karl Krissian
- Ron Kikinis
- Jean-Christophe Pesquet
- Patrick L. Combettes
In Media Technology
Citations in the corpus
- Removing Multiplicative Noise by Douglas-Rachford Splitting Methods (2010, methodology): “Beyond variational approaches there exist other techniques to remove multiplicative noise, e.g., local linear minimum mean square error approaches [46, 47] or anisotropic diffusion methods [ 1 , 44, 66] which will not be addressed in this paper.”
- Oriented Speckle Reducing Anisotropic Diffusion (2007, methodology): “They choose to apply the diffusion equation , where (14) or (15) As noted by [17], using (14) is equivalent to using a discrete version of the equation (16) (17) The equivalent using Kuan's filter is (as mentioned in [17] In a recent study, Aja-Fernández and Alberola-López [17] modify the SRAD…”