The Discrete Shearlet Transform: A New Directional Transform and Compactly Supported Shearlet Frames

By Wang-Q Lim. IEEE Transactions on Image Processing, 2010

440 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Media Technology

View Paper: https://www.semanticscholar.org/paper/093fdf3793822b1b8cedb8da976a2582ea002c1a

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. Sam Van der Jeught
2. Joris J. J. Dirckx
3. Sören Häuser

In Media Technology

1. Sam Van der Jeught
2. Joris J. J. Dirckx
3. Sören Häuser

Citations in the corpus

• Real-time structured light profilometry: a review (2016, background): “It has been 225 demonstrated that their superior directional sensitivity allows for better distinction between noise 226 and fringes and improved general background removal [47].”
• Fast Finite Shearlet Transform: a tutorial (2012, methodology): “Recall that for ω ≥ 0: supp ψ̂1(ω) = [12 , 4] = [2−1, 22] and ψ̂1 ≡ 1 for ω ∈ [1, 2] = [20, 21].”