Directional multiresolution image representations
By Minh N. Do. 2002
384 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Media Technology
View Paper: https://www.semanticscholar.org/paper/5c8ba037d6cc6db05809f4a5d3c6ffac9a02166e
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
- E.J. Candes
- Minh N. Do
- David L. Donoho
- Michael Elad
- Laurent Demanet
- Yonina C. Eldar
- Lexing Ying
- Martin Vetterli
In Media Technology
- E.J. Candes
- Minh N. Do
- David L. Donoho
- Martin Vetterli
- Lexing Ying
- Laurent Demanet
- Baltasar Beferull-Lozano
- Vladan Velisavljevic
Citations in the corpus
- Fast Discrete Curvelet Transforms (2006, positive): “Given the significance of such intermediate dimensional phenomena, there has been a vigorous research effort to provide better adapted alternatives by combining ideas from geometry with ideas from traditional multiscale analysis [17, 19, 4, 31, 14, 16].”
- Directionlets: anisotropic multidirectional representation with separable filtering (2006, methodology): “Multi-directionality has also been exploited in bandelets [64; 65; 66], edgelets and wedgelets [31; 74; 75; 107; 108], curvelets [9; 10; 11], and contourlets [27; 28].”
- New tight frames of curvelets and optimal representations of objects with piecewise C2 singularities (2004, methodology): “Finally, we recently became aware of the work of Do and Vetterli on contourlets [13, 14], which is also directly inspired by the curvelet transform.”
- Directional multiscale modeling of images using the contourlet transform (2006, background): “This is because the basis functions corresponding to the vertical and horizontal subbands are defined over different sampling lattices [21].”