Citation: | LIU Kai, WANG Huiqin, WU Meng, XIANG Jiankai, LU Ying. Study on fusion method of X-ray images of ancient bronze mirrors based on lifting wavelet[J]. LASER TECHNOLOGY, 2020, 44(1): 113-118. DOI: 10.7510/jgjs.issn.1001-3806.2020.01.020 |
[1] |
JIE J, YAN W X. Application and prospect of X-ray imaging techno-logy in bronze protection unearthed in collections[J]. Heritage World, 2016(2):74-77(in Chinese).
|
[2] |
XIANG J K, ZHANG G, DONG Sh H, et al. Application of digital radiography to the research on wood carving.Science of Conservation and Archaeology, 2018, 30(3):105-110(in Chinese). http://d.old.wanfangdata.com.cn/Periodical/wwbhykgkx201803012
|
[3] |
JIANG Z T, WU H, ZHOU X L. Infrared and visible image fusion algorithm based on improved guided filtering and dual-channel spiking cortical model[J]. Acta Optica Sinica, 2018, 38(2):2100002(in Chinese). http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=gxxb201802015
|
[4] |
GE W, JI P Ch, ZHAO T Ch. Inrared and visible light images fusion of fuzzy logic on NSST domain[J]. Laser Technology, 2016, 40(6):892-896(in Chinese).
|
[5] |
ZHU D R, XU L, WANG F B. Multi-focus image fusion algorithm based on fast finite shearlet transform and guided filter[J]. Laser & Optoelectronics Progress, 2018, 55(1):011001(in Chinese). http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=jgygdzxjz201801022
|
[6] |
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(7):147-164. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=a8e1e9e2cfd2527ff7bc57b03ee5b7f4
|
[7] |
CHEN Sh Y, LIU J X, DING Y. Study on fusion method of infrared and X-ray images based on wavelet transform[J]. Laser Technology, 2015, 39(5):685-688(in Chinese). http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=jgjs201505021
|
[8] |
ZHANG X, XUE Y J, TU Sh Q, et al. Remote sensing image fusion based on structural group sparse representation[J]. Journal of Image and Graphics, 2018, 21(8):1106-1118(in Chinese). http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=zgtxtxxb-a201608015
|
[9] |
CHEN K H, YANG H M. 2D/3D registration method based on si-mulate a reconstructed X-ray image using ray casting method[J]. Journal of Changchun University of Science and Technology (Natural Science Edition), 2016, 39(2):103-106(in Chinese).
|
[10] |
YANG Y Ch, DANG J W, WANG Y P. A medical image fusion method based on lifting wavelet transform and adaptive PCNN[J]. Journal of Computer-Aided Design & Graphics, 2012, 24(4):494-499(in Chinese). http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=jsjfzsjytxxxb201204010
|
[11] |
YAO Q, YUAN Z. Weighted fusion algorithm for pixel-level multiresolution images[J]. Journal of Discrete Mathematical Sciences & Cryptography, 2018, 21(2):363-368.
|
[12] |
GAO Y, WANG A M, WANG F H, et al. Application of improved wavelet transform algorithm in image fusion[J]. Laser Technology, 2013, 37(5):690-695(in Chinese).
|
[13] |
ROKNI K, MUSA T A, HAZINI S, et al. Investigating the application of pixel-level and product-level image fusion approaches for monitoring surface water changes[J]. Natural Hazards, 2015, 78(1):1-12. DOI: 10.1007/s11069-015-1861-0
|
[14] |
YU L, XUN C, WANG Z, et al. Deep learning for pixel-level image fusion: Recent advances and future prospects[J]. Information Fusion, 2018, 42(7):158-173.
|
[15] |
ZHANG D F. MATLAB wavelet analysis[M]. Beijing: Mechanical Industry Press, 2009: 120-125(in Chinese).
|
[16] |
LI L L, DING M Y. Fast image fusion method based on lifting wavelet transform[J]. Mini-Micro Systems, 2005, 26(4): 667-670(in Chinese).
|
[17] |
LI J F, JIANG X L, DAI W Zh. Medical image fusion based on lifting wavelet transform[J]. Journal of Image and Graphics, 2014, 19(11): 1639-1648(in Chinese).
|
[18] |
XU X J, WANG Y R, CHEN Sh. Novel image fusion method based on downsampling fractional wavelet transform[J]. Chinese Journal of Scientific Instrument, 2014, 35(9):2061-2069(in Chinese). http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=yqyb201409018
|
[19] |
VIVONE G, RESTAINO R, MURA M D. Contrast and error-based fusion schemes for multispectral image pansharpening[J]. IEEE Geo-science & Remote Sensing Letters, 2014, 11(5): 930-934. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=8857a5ff76c6cd34c237ae916709ada3
|
[20] |
ZHAO J F, CUI G M, GONG X L, et al. Fusion of visible and infrared images using global entropy and gradient constrained regularization[J]. Infrared Physics & Technology, 2017, 81(3): 201-209. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=666e42a8c5887b1874a80197bf49d34f
|
[21] |
YU N N, QIU T S. Fusion technology of infrared and visible image in compressive sensing[J]. Singnal Processing, 2012, 28(5): 692-698. http://d.old.wanfangdata.com.cn/OAPaper/oai_doaj-articles_74cb4fcd1c1c04cc59dd5897f9df8e47
|