This work is licensed under the Creative Commons Attribution 4.0 International License.
Liu Y, Wang L, Cheng J, et al. Multi-focus image fusion: A survey of the state of the art. Information Fusion, 2020, 64: pp.71-91.Search in Google Scholar
Jinju J, Santhi N, Ramar K, et al. Spatial frequency discrete wavelet transform image fusion technique for remote sensing applications. Engineering Science and Technology, an International Journal, 2019, 22(3): pp.715-726.Search in Google Scholar
Ghassemian H. A review of remote sensing image fusion methods. Information Fusion, 2016, 32:pp. 75-89.Search in Google Scholar
Ma J, Ma Y, Li C. Infrared and visible image fusion methods and applications: A survey. Information Fusion, 2019, 45: pp.153-178.Search in Google Scholar
Liu Y, Chen X, Wang Z, et al. Deep learning for pixel-level image fusion: Recent advances and future prospects. Information Fusion, 2018, 42: pp.158-173.Search in Google Scholar
Ma J, Yu W, Liang P, et al. FusionGAN: A generative adversarial network for infrared and visible image fusion. Information Fusion, 2019, 48: pp.11-26.Search in Google Scholar
Ma J, Liang P, Yu W, et al. Infrared and visible image fusion via detail preserving adversarial learning. Information Fusion, 2020, 54: pp.85-98.Search in Google Scholar
Rhif M, Ben Abbes A, Farah I R, et al. Wavelet transform application for/in non-stationary time-series analysis: a review. Applied Sciences, 2019, 9(7): pp.1345.Search in Google Scholar
Singh D, Garg D, Singh Pannu H. Efficient landsat image fusion using fuzzy and stationary discrete wavelet transform. The Imaging Science Journal, 2017, 65(2): pp.108-114.Search in Google Scholar
Ma G, Zhao J. Quaternion ridgelet transform and curvelet transform. Advances in Applied Clifford Algebras, 2018, 28(4): pp.1-21.Search in Google Scholar
Ma J, Plonka G. The curvelet transform. IEEE signal processing magazine, 2010, 27(2): pp.118-133.Search in Google Scholar
Li B, Peng H, Wang J. A novel fusion method based on dynamic threshold neural P systems and nonsubsampled contourlet transform for multi-modality medical images. Signal Processing, 2021, 178:pp. 107793.Search in Google Scholar
Manchanda M, Sharma R. An improved multimodal medical image fusion algorithm based on fuzzy transform. Journal of Visual Communication and Image Representation, 2018, 51: pp.76-94.Search in Google Scholar
Ding S, Zhao X, Xu H, et al. NSCT-PCNN image fusion based on image gradient motivation. IET Computer Vision, 2018, 12(4): pp.377-383.Search in Google Scholar
Zhang S, Liu B, Huang F. Multimodel fusion method via sparse representation at pixel-level and feature-level. Optical Engineering, 2019, 58(6): pp.063105.Search in Google Scholar
Guo Y, Wang C, Lei S, et al. A Framework of Spatio-Temporal Fusion Algorithm Selection for Landsat NDVI Time Series Construction. ISPRS International Journal of Geo-Information, 2020, 9(11): pp.665.Search in Google Scholar
Panigrahy C, Seal A, Mahato N K. MRI and SPECT image fusion using a weighted parameter adaptive dual channel PCNN. IEEE Signal Processing Letters, 2020, 27: PP.690-694.Search in Google Scholar
Na Y, Zhao L, Yang Y, et al. Guided filter-based images fusion algorithm for CT and MRI medical images. IET Image Processing, 2018, 12(1): pp.138-148.Search in Google Scholar
Na Y, Zhao L, Yang Y, et al. Guided filter-based images fusion algorithm for CT and MRI medical images. IET Image Processing, 2018, 12(1): pp.138-148.Search in Google Scholar
Arain M S, Khan M A, Kalwar M A. Optimization of Target Calculation Method for Leather Skiving and Stamping: Case of Leather Footwear Industry. International Journal of Education and Management Studies, 2020, 7(1): pp.15-30.Search in Google Scholar
Feng W, Yi L, Sato M. Near range radar imaging based on block sparsity and cross-correlation fusion algorithm. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018, 11(6): pp.2079-2089.Search in Google Scholar
Penault-Llorca F, Rudzinski E R, Sepulveda A R. Testing algorithm for identification of patients with TRK fusion cancer. Journal of clinical pathology, 2019, 72(7): pp.460-467Search in Google Scholar