The Nonsubsampled Contourlet Transform: Theory, Design, and Applications
By Arthur L. A. da Cunha, Jianping Zhou, Minh N. Do. IEEE Transactions on Image Processing, 2006
2,049 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Media Technology
View Paper: https://www.semanticscholar.org/paper/aff1898e655a382d121e185cdf838e99f3262d0c
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In Computer Vision and Pattern Recognition
In Media Technology
Citations in the corpus
- Directive Contrast Based Multimodal Medical Image Fusion in NSCT Domain (2013, background): “NSCT, based on the theory of CT, is a kind of multi-scale and multi-direction computation framework of the discrete images [29].”
- The Discrete Shearlet Transform: A New Directional Transform and Compactly Supported Shearlet Frames (2010, methodology): “We compared the performance of the extended DST to other transforms such as the Nonsubsampled Contourlet Transform (NSCT)[17] and Translation Invariant Wavelet Transform”
- An Efficient Pan-Sharpening Method via a Combined Adaptive PCA Approach and Contourlets (2008, methodology): “(This figure is a modified version of [11] and [12].”
- Multifocus Image Fusion and Restoration With Sparse Representation (2010, methodology): “For the CVT- and NSCT-based method, the K in (19) is set to 4 for the finest scale and set to 3 for the remaining scales according to successful cases [27].”
- A survey of classical methods and new trends in pansharpening of multispectral images (2011, methodology): “Similarly to wavelets, contourlets also have different implementations of the subsampled and non-subsampled [43] transforms.”
- Performance comparison of different multi-resolution transforms for image fusion (2011, methodology): “The nonsubsampled version of the CT, the NSCT, is implemented via the ''à trous " algorithm [32].”