참고문헌
- S. Lefkovits, L. Lefkovits and L. Szil'agyi, Applications of Different CNN Architectures for Palm Vein Identification, Modeling Decisions for Artificial Intelligence (2019), 295-306. 10.1007/978-3-030-26773-5 26
- G.J. Trivedi and R. Sanghvi, Novel Approach to Multi-Modal Image usion Fusing Modified Convolutional Layers, Journal of Innovative Image Processing 5(3) (2023), 229-253. 10.36548/jiip.2023.3.002
- G. Xiao, D.P. Bavirisetti, G. Liu and X. Zhang, Image Fusion, Springer, Singapore, 2020. 10.1007/978-981-15-4867-3
- H. Kaur, D. Koundal and V. Kadyan, Image Fusion Techniques: A Survey, Archives of Computational Methods in Engineering 28(7) (2021), 4425-4447. 10.1007/s11831-021-09540-7
- Y. Niu, L. Shen, X. Huo and G. Liang, Multi-Objective Wavelet-Based Pixel-Level Image Fusion Using Multi-Objective Constriction Particle Swarm Optimization, Studies in Computational Intelligence (2010), 151-178. 10.1007/978-3-642-05165-4 7
- G.J. Trivedi and R. Sanghvi, Medical Image Fusion Using CNN with Automated Pooling, Indian Journal Of Science And Technology 15(42) (2023), 2267-2274. 10.17485/ijst/v15i42.1812.
- C.R. Mohan, S. Kiran and A.A. Kumar, An Enhancement Process for Multi-focus Images Resulted from Image Fusion using shift DTCWT and MPCA in Multiresolution Domain, Procedia Computer Science 218 (2023), 2713-22. 10.1016/j.procs.2023.01.243
- V. Rajinikanth, S.C. Satapathy, N. Dey and R. Vijayarajan, DWT-PCA Image Fusion Technique to Improve Segmentation Accuracy in Brain Tumor Analysis, Lecture Notes in Electrical Engineering (2018), 453-62. 10.1007/978-981-10-7329-8 46
- L. Zhou, A Gradient-based Multi-focus Image Fusion Method Using Multiwavelets Transform, 2012 International Conference on Industrial Control and Electronics Engineering (2012). 10.1109/icicee.2012.110
- L. Li, C. Li, X. Lu, H. Wang and D. Zhou Multi-focus image fusion with convolutional neural network based on Dempster-Shafer theory, Optik 272 (2023), 170223. 10.1016/j.ijleo.2022.170223
- G. Zhang, R. Nie, J. Cao, L. Chen and Y. Zhu, FDGNet: A pair feature difference guided network for multimodal medical image fusion, Biomedical Signal Processing and Control 81 (2023), 104545. 10.1016/j.bspc.2022.104545
- G.T. Vasu, and P. Palanisamy, Gradient-based multi-focus image fusion using foreground and background pattern recognition with weighted anisotropic diffusion filter, Signal, Image and Video Processing (2023). 10.1007/s11760-022-02470-2
- L. Guo and L. Liu, A Perceptual-Based Robust Measure of Image Focus, IEEE Signal Processing Letters 29 (2022), 2717-2721. 10.1109/lsp.2023.3235647.
- U. Ali, I.H. Lee and M.T. Mahmood, Incorporating structural prior for depth regularization in shape from focus, Computer Vision and Image Understanding 27 (2023), 103619. 10.1016/j.cviu.2022.103619
- N. Madali, A. Gilles, P. Gioia and L. Morin, Automatic depth map retrieval from digital holograms using a depth-from-focus approach, Applied Optics 62(10) (2023), D77. 10.1364/ao.478634
- S. Liu, L. Qu, M. Wang and Z. Song, Fusionmlp: A Mlp-Based Unified Image Fusion Framework, SSRN Electronic Journal (2023). 10.2139/ssrn.4334055
- N. You, L. Han, D. Zhu and W. Song, Research on Image Denoising in Edge Detection Based on Wavelet Transform, Applied Sciences 13(3) (2023), 1837. 10.3390/app13031837
- M.M. Iqbal Ch, M.M. Riaz, N. Iltaf, A. Ghafoor and S.S. Ali, A multi-focus image fusion using high-level DWT components and guided filter, Multimedia Tools and Applications 79 (2020), 12817-12828. 10.1016/j.cviu.2022.103619
- G.B. Gebremeskel, A critical analysis of the multi-focus image fusion using discrete wavelet transform and computer vision - Soft Computing, Computer Vision and Image Understanding 26 (2022), 5209-5225. 10.1016/j.cviu.2022.103619
- S. Pertuz, D. Puig and M.A. Garcia, Analysis of focus measure operators for shape-from-focus, Pattern Recognition 46(5) (2013), 1415-1432. 10.1016/j.patcog.2012.11.011
- S.C.F. Lin, C.Y. Wong, G. Jiang, M.A. Rahman, T.R. Ren, N. Kwok, H. Shi, Y.-H. Yu and T. Wu, Intensity and edge based adaptive unsharp masking filter for color image enhancement, Optik 127(1) (2016), 407-414. 10.1016/j.ijleo.2015.08.046
- E. Gul and A.N. Toprak, Contourlet and discrete cosine transform based quality guaranteed robust image watermarking method using artificial bee colony algorithm, Expert Systems with Applications 212 (2023), 118730. 10.1016/j.eswa.2022.118730
- B. Xiao, G. Ou, H. Tang, X. Bi and W. Li, Multi-Focus Image Fusion by Hessian Matrix Based Decomposition, IEEE Transactions on Multimedia 22(2) (2022), 285-297. 10.1109/tmm.2019.2928516
- Y. Yang, M. Ding, S. Huang, Y. Que, W. Wan, M. Yang and J. Sun, Multi-Focus Image Fusion via Clustering PCA Based Joint Dictionary Learning, IEEE Access 5 (2017), 16985-16997. 10.1109/access.2017.2741500
- G.J. Trivedi and R. Sanghvi, Optimizing Image Fusion Using Modified Principal Component Analysis Algorithm and Adaptive Weighting Scheme, International Journal of Advanced Networking and Applications 15(1) (2023), 5769-5774. 10.35444/IJANA.2023.15103
- J. Qi, H. Yang and Z. Kong, Fusion of remote sensing images based on multi-resolution analysis, Journal of Physics: Conference Series 2419(1) (2023), 012051. 10.1088/1742-6596/2419/1/012051
- S. Liu, L. Qu, Q. Qiao, M. Wang and Z. Song, Wavelet-based self-supervised learning for multi-scene image fusion, Neural Computing and Applications 34(18) (2022), 15689-15704. 10.1007/s00521-022-07242-0
- H. Li, W. Qian, R. Nie, J. Cao, D. Xu, Siamese conditional generative adversarial network for multi-focus image fusion, Applied Intelligence (2023). 10.1007/s10489-022-04406-2
- J.K. Rohrbach Dataset taken from website raw samples, Finkelerweg 37, CH-4144 Arlesheim, cited on (2023). http://rawsamples.ch/index.php/en/
- R.C. Gonzalez, R.E. Woods, and S.L. Eddins Digital image processing using MATLAB, Knoxville, Gatesmark Publishing, 2020.