A general framework for image fusion based on multi-scale transform and sparse representation
Citations
871 citations
Cites background or methods from "A general framework for image fusio..."
...propose a general image fusion framework based on multi-scale transform and sparse representation[85]....
[...]
...Combination of different transforms hybird wavelet-contourlet [84], multi-scale transform-SR[85], morphological component analysis-SR[86], contourlet-SR[87], IHS-retinainspired models [88], IHS-wavelet[89] coefficient and window based activity level measurement[85–87], choose-max and weightedaverage based coefficient combining method[85–87], component substitution[89], integration of component substitution and weighted average [88]...
[...]
853 citations
Cites background or methods from "A general framework for image fusio..."
...They can be simply divided into seven categories including multi-scale transform- [5, 6, 7], sparse representation- [8, 9], neural network- [10, 11], subspace- [12, 13], and saliency-based [14, 15] methods, hybrid models [16, 17], and other methods [18, 19]....
[...]
...The image fusion problem has been developed with different schemes including multiscale transform- [5, 6, 7], sparse representation- [8, 9], neural network- [10, 11], subspace- [12, 13], and saliency-based [14, 15] methods, hybrid models [16, 17], and other methods [18, 19]....
[...]
...Meanwhile, sparse representation-based fusion methods divide source images into several overlapping patches using a sliding window strategy, thereby potentially reducing visual artifacts and improving robustness to misregistration [16]....
[...]
...AC CE PT ED M AN US CR IP T models combine their advantages to improve the image fusion performance [16]....
[...]
849 citations
826 citations
729 citations
References
40,609 citations
9,380 citations
"A general framework for image fusio..." refers methods in this paper
...(iii) Calculate the sparse coefficient vectors faA;aBg of fv̂A; v̂Bg using the orthogonal matching pursuit (OMP) algorithm [21] by...
[...]
8,905 citations
6,975 citations
"A general framework for image fusio..." refers methods in this paper
...Classical MST-based fusion methods include pyramid-based ones like Laplacian pyramid (LP) [2], ratio of low-pass pyramid (RP) [3] and gradient pyramid (GP) [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 contourlet transform (NSCT) [9]....
[...]
5,947 citations
"A general framework for image fusio..." refers background in this paper
...Sparse representation addresses the signals’ natural sparsity, which is in accord with the physiological characteristics of human visual system [12]....
[...]