Contourlets: a directional multiresolution image representation

By Minh N. Do, Martin Vetterli. Proceedings. International Conference on Image Processing, 2002

468 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Media Technology

View Paper: https://www.semanticscholar.org/paper/e940a9ab647ca11905ce17dd575d2c7ab4a27d99

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. Ivan W. Selesnick
2. Richard Baraniuk
3. Leyuan Fang
4. Shutao Li
5. Jianwen Hu
6. Haitao Yin
7. Xudong Kang
8. N. Kingsbury

In Media Technology

1. Shutao Li
2. Leyuan Fang
3. Ivan W. Selesnick
4. Jianwen Hu
5. Xudong Kang
6. Haitao Yin
7. Richard Baraniuk
8. Yu Liu

Citations in the corpus

• Pixel-level image fusion: A survey of the state of the art (2017, methodology): “A In addition to curvelet, contourlet is another transform that can capture the intrinsic geometrical structure of the images, and it is preferable for processing two-dimensional signals[16].”
• The dual-tree complex wavelet transform (2005, background): “Examples include steerable pyramids [41], [96], directional FBs and pyramids [10], [31], curvelets [15], [100], and directional wavelet transforms based on complex FBs [36], [39], [55], [57].”