Directional multiscale modeling of images using the contourlet transform

By Duncan D. Po, Minh N. Do. IEEE Transactions on Image Processing, 2006

681 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Media Technology

View Paper: https://www.semanticscholar.org/paper/8fd1dd1fd8e780083ec02c6fce97ecffe0ac84e7

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

1. Demetrio Labate
2. Kanghui Guo
3. Jianping Zhou
4. Arthur L. A. da Cunha
5. Minh N. Do
6. Wang-Q Lim
7. Shutao Li
8. Gitta Kutyniok

In Media Technology

1. Demetrio Labate
2. Kanghui Guo
3. Jianping Zhou
4. Arthur L. A. da Cunha
5. Minh N. Do
6. Wang-Q Lim
7. Shutao Li
8. Bin Yang

Citations in the corpus

• A Shearlet Approach to Edge Analysis and Detection (2009, neutral): “These methods include contourlets [6], [7] complex wavelets [8], ridgelets [9], and curvelets [10].”
• Optimally Sparse Multidimensional Representation Using Shearlets (2007, background): “Those include contourlets , complex wavelets and other “directional wavelets” in the filter bank literature [1, 2, 11, 20, 24, 26], as well as brushlets [8], ridgelets [5], curvelets [7] and bandelets [22].”
• Sharpness-Aware Low-Dose CT Denoising Using Conditional Generative Adversarial Network (2017, neutral): “discrete gradient, contourlet [48], curvelet [10].”
• The Nonsubsampled Contourlet Transform: Theory, Design, and Applications (2006, background): “As studied in [35], contourlet coefficients are well modelled by generalized Gaussian distributions.”