Infrared and Visible Image Fusion Based on Iterative Guided Filtering and Multi-visual Weight Information

ZHU Hao-ran; LIU Yun-qing; ZHANG Wen-ying

doi:10.3788/gzxb20194803.0310002

[1] FENG Xin, ZHANG Jian-hua, HU Kai-qun, et al. The infrared and visible image fusion method based on variational multiscale［J］. Acta Electronica Sinica, 2018, 46(3): 680-687.

[2] JIANG Ze-tao, WU Hui, ZHOU Xiao-ling. Infrared and visible image fusion algorithm based on improved guided filtering and dual-channel spiking cortical model［J］. Acta Optica Sinica,2018,38(2): 112-120.

[3] BURT P J, ADELSON E H. The Laplacian pyramid as a compact image code［J］. Readings in Computer Vision, 1987, 31(4): 671-679.

[4] LEMESHEWSKY G P . Multispectral multisensor image fusion using wavelet transforms［C］. SPIE, 1999, 3716: 214-222.

[5] LI Jin-xi, ZHOU Ding-fu, YUAN Sheng, et al. Modified image fusion technique to remove defocus noise in optical scanning holography［J］. Optics Communications, 2018, 407(15): 234-238.

[6] LI Jun, SONG Ming-hui, PENG Yuan-xi. Infrared and visible image fusion based on robust principal component analysis and compressed sensing［J］. Infrared Physics & Technology, 2018, 89(3): 129-139.

[7] YIN Xiang, MA Jun. Image fusion method based on entropy rate segmentation and multi-scale decomposition［J］.Laser & Optoelectronics Progress, 2018, 55(1): 1-8.

[8] KUMAR B K S. Image fusion based on pixel significance using cross bilateral filter［J］. Signal, Image and Video Processing, 2015, 9(5): 1193-1204.

[9] LI Shu-tao, KANG Xu-dong, HU Jian-wen. Image fusion with guided filtering［J］. IEEE Transactions on Image Processing: A Publication of the IEEE Signal Processing Society, 2013, 22(7): 2864-2875.

[10] BAVIRISETTI D P, DHULI R. Fusion of infrared and visible sensor images based on anisotropic diffusion and Karhunen-Loeve transform［J］. Infrared Physics & Technology, 2016, 16(1): 52-64.

[11] CHANDRASHEKAR L, SREEDEVI A. Advances in biomedical imaging and image fusion［J］.International Journal of Computer Applications, 2018, 179(24): 1-9.

[12] LIU Yu, CHEN Xun, PENG Hu,et al. Multi-focus image fusion with a deep convolutional neural network［J］. Information Fusion, 2017, 36(7): 191-207.

[13] LIU Feng, SHEN Tong-sheng, MA Xin-xing. Image fusion via cross bilateral filter and visual weight information［J］. Chinese Journal of Scientific Instrument, 2017, 38(4): 1005-1013.

[14] XIE Wei, ZHOU Yu-qin, YOU Min. Improved guided image filtering integrated with gradient information［J］. Journal of Image and Graphics, 2016, 21(9): 1119-1126.

[15] LIU Zhao-dong, CHAI Yi, YIN Hong-peng, et al. A novel multi-focus image fusion approach based on image decomposition［J］. Information Fusion, 2017, 35(5): 102-116.

[16] SUN Yan-jing, YANG Yu-fen, LIU Dong-lin, et al. Multiple-scale structural similarity image quality assessment based on internal generative mechanism［J］. Journal of Electronics & Information Technology, 2016, 38(1): 127-134.

[17] ［EB/OL］. ［2018-11-29］.http: //www.imagefusion.org/.

[18] LIU Guo-jun, Gao Li-xia, CHEN Li-qi. Pool strategy for full-reference IQA via general means［J］. Optics and Precision Engineering, 2017, 25(3): 742-748.

[19] QU Huai-jing, LI Jian. Image fusion based on statistical mixture modeling［J］. Journal of Computer-Aided Design & Computer Graphics, 2017, 29(5): 838-845.

[20] ZHU Pan, LIU Ze-yang, HUANG Zhan-hua. Infrared polarization and intensity image fusion based on dual-tree complex wavelet transform and sparse representation［J］. Acta Photonica Sinica, 2017, 46(12): 1210002.