Regularizing Flows for Constrained Matrix-Valued Images
By Christophe Chefd'Hotel, David Tschumperlé, Rachid Deriche, Olivier D. Faugeras. Journal of Mathematical Imaging and Vision, 2004
696 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Geophysics
View Paper: https://www.semanticscholar.org/paper/7be6aaa3fd37cb64ad5cbb23d7f992d4cbb6f46e
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Wotao Yin
- Yin Zhang
- Gabriele Steidl
- Junfeng Yang
- Thomas Pock
- Charles Kervrann
- Antonin Chambolle
- Lei Zhang
In Geophysics
Citations in the corpus
- Splines in Higher Order TV Regularization (2006, background): “From this point of view, the solution of our minimization problem has a sparse representation in terms of discrete fundamental splines.”
- Diagonal preconditioning for first order primal-dual algorithms in convex optimization (2011, background): “TV-L(1) image denoising The TV-L(1) model [12, 6] is a popular image denoising model.”
- Local adaptivity to variable smoothness for exemplar-based image denoising and representation (2005, background): “Thus, related partial differential equations (PDE) and variational methods, including anisotropic diffusion [59, 77, 8] and total variation (TV) minimization [64], have shown impressive results to tackle the problem of edge-preserving smoothing [59, 14, 77, 15].”
- An Efficient TVL1 Algorithm for Deblurring Multichannel Images Corrupted by Impulsive Noise (2009, background): “Theoretical results comparing smooth and nonsmooth data fidelity terms for image denoising can be found in [38, 39].”
- Fast Anisotropic Smoothing of Multi-Valued Images using Curvature-Preserving PDE's (2006, background): “More recently, regularizat ion PDE’s under constraints have been proposed in order to de al with more specific datasets, as fields of unit vectors [18, 24, 3 , 41], orthonormal matrices [17, 45], positive-definite m atrices [17, 46], or image data defined on implicit surfaces [7, 14, 42 ].”
- Geometric Means in a Novel Vector Space Structure on Symmetric Positive-Definite Matrices (2007, neutral): “For illustrations of this effect, see [20, 21].”