Open Access
| Issue |
JNWPU
Volume 40, Number 6, December 2022
|
|
|---|---|---|
| Page(s) | 1414 - 1421 | |
| DOI | https://doi.org/10.1051/jnwpu/20224061414 | |
| Published online | 10 February 2023 | |
- FU J, LI W, DU J, et al. DSAGAN: a generative adversarial network based on dual-stream attention mechanism for anatomical and functional image fusion[J]. Information Sciences, 2021, 576: 484–506. [Article] [CrossRef] [Google Scholar]
- ZHU Pan, LIU Ze, HUANG Zhanhua. Infrared polarization and intensity image fusion based on dual-tree complex wavelet transform and sparse representation[J]. Acta Photonica Sinica, 2017, 46(12): 1210002. [Article] (in Chinese) [CrossRef] [Google Scholar]
- YIN M, LIU X, LIU Y, et al. Medical image fusion with parameter-adaptive pulse coupled neural network in nonsubsampled shearlet transform domain[J]. IEEE Trans on Instrumentation and Measurement, 2018, 68(1): 49–64 [Google Scholar]
- LIU Y, LIU S, WANG Z. A general framework for image fusion based on multi-scale transform and sparse representation[J]. Information Fusion, 2015, 24: 147–164. [Article] [CrossRef] [Google Scholar]
- ZHU Z, ZHENG M, QI G, et al. A phase congruency and local Laplacian energy based multi-modality medical image fusion method in NSCT domain[J]. IEEE Access, 2019, 7: 20811–20824. [Article] [CrossRef] [Google Scholar]
- KIM M, HAN D K, KO H. Joint patch clustering-based dictionary learning for multimodal image fusion[J]. Information Fusion, 2016, 27: 198–214. [Article] [CrossRef] [Google Scholar]
- ZHU Z, CHAI Y, YIN H, et al. A novel dictionary learning approach for multi-modality medical image fusion[J]. Neurocomputing, 2016, 214: 471–482. [Article] [CrossRef] [Google Scholar]
- ZHOU F, LI X, ZHOU M, et al. A new dictionary construction based multimodal medical image fusion framework[J]. Entropy, 2019, 21(3): 267. [Article] [CrossRef] [Google Scholar]
- LIU Y, CHEN X, WARD R K, et al. Image fusion with convolutional sparse representation[J]. IEEE Signal Processing Letters, 2016, 23(12): 1882–1886. [Article] [CrossRef] [Google Scholar]
- LIU Y, CHEN X, CHENG J, et al. A medical image fusion method based on convolutional neural networks[C]//2017 20th International Conference on Information Fusion, 2017 [Google Scholar]
- LIU Y, CHEN X, WARD R K, et al. Medical image fusion via convolutional sparsity based morphological component analysis[J]. IEEE Signal Processing Letters, 2019, 26(3): 485–489. [Article] [CrossRef] [Google Scholar]
- LI S, KANG X, HU J. Image fusion with guided filtering[J]. IEEE Trans on Image Processing, 2013, 22(7): 2864–2875 [CrossRef] [Google Scholar]
- DU J, LI W, XIAO B. Anatomical-functional image fusion by information of interest in local Laplacian filtering domain[J]. IEEE Trans on Image Processing, 2017, 26(12): 5855–5866. [Article] [CrossRef] [Google Scholar]
- LI X, GUO X, HAN P, et al. Laplacian redecomposition for multimodal medical image fusion[J]. IEEE Trans on Instrumentation and Measurement, 2020, 69(9): 6880–6890. [Article] [CrossRef] [Google Scholar]
- PRASATH V B S, PELAPUR R, SEETHARAMAN G, et al. Multiscale structure tensor for improved feature extraction and image regularization[J]. IEEE Trans on Image Processing, 2019, 28(12): 6198–6210. [Article] [NASA ADS] [CrossRef] [Google Scholar]
- SUFYAN A, IMRAN M, SHAH S A, et al. A novel multimodality anatomical image fusion method based on contrast and structure extraction[J]. International Journal of Imaging Systems and Technology, 2021, 20(12): 124–132 [Google Scholar]
- LIU Z, BLASCH E, XUE Z, et al. Objective assessment of multiresolution image fusion algorithms for context enhancement in night vision: a comparative study[J]. IEEE Trans on Pattern Analysis and Machine Intelligence, 2011, 34(1): 94–109 [Google Scholar]
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