Multifocus image fusion using the nonsubsampled contourlet transform
By Qiang Zhang, B. Guo. Signal Processing, 2009
676 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Media Technology
View Paper: https://www.semanticscholar.org/paper/ad9c2b36dd0fb3524f14f75ac3e31c56e6df5d99
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In Computer Vision and Pattern Recognition
In Media Technology
Citations in the corpus
- Image Fusion With Convolutional Sparse Representation (2016, neutral): “gated in image fusion include Laplacian pyramid [11], discrete wavelet transform [12], discrete cosine transform [13], nonsubsampled contourlet transform (NSCT) [14], independent component analysis [15], sparse representation (SR) [16], etc.”
- An overview of multi-modal medical image fusion (2016, methodology): “The methods are introduced from other fields of fusion, such as multi-focus image fusion [69, 70], remote sensing image fusion [71], etc.”
- Image Fusion With Guided Filtering (2013, methodology): “Four decomposition levels with 4, 8, 8, 16 directions from coarser scale to finer scale are adopted for the NSCT method.”
- Group-Sparse Representation With Dictionary Learning for Medical Image Denoising and Fusion (2012, methodology): “The experimental results demonstrate that our fusion method surpasses the multiresolution analysisbased methods (DWT, SWT, and NSCT) and the standard sparse representation-based method (SOMP) in terms of five metrics (MI, UIQI, QE ,QW , and QAB/F ).”
- Medical Image Fusion With Parameter-Adaptive Pulse Coupled Neural Network in Nonsubsampled Shearlet Transform Domain (2019, background): “, nonsubsampled contourlet transform (NSCT) [19] and nonsubsampled shearlet transform (NSST) [20]).”
- Simultaneous image fusion and denoising with adaptive sparse representation (2015, methodology): “The ASR-based method is compared with fi ve popular or latest TDF methods based on DWT [10], CVT [12], NSCT [13], ND [16] and SR [20].”
- Multi-focus image fusion with a deep convolutional neural network (2017, methodology): “…method is compared with six representative multi-focus image fusion methods, which are the non-subsampled contourlet transform (NSCT)-based one [6] , the sparse representation (SR)-based one [13] , the NSCT-SR-based one [11] , the guided filtering (GF)-based one [25] , the multi-scale weighted…”
- A general framework for image fusion based on multi-scale transform and sparse representation (2015, neutral): “…[4], wavelet-based ones like discrete wavelet transform (DWT) [5], stationary wavelet transform (SWT) [6] and dual-tree complex wavelet transform (DTCWT) [7], and multi-scale geometric analysis (MGA)-based ones like curvelet transform (CVT) [8] and nonsubsampled con-tourlet transform (NSCT) [9].”
- Directive Contrast Based Multimodal Medical Image Fusion in NSCT Domain (2013, methodology): “[22], Zhang and Guo [11] and Chai et al.”