光谱学与光谱分析 |
|
|
|
|
|
Infrared and Visible Images Fusion Based on Tetrolet Transform |
SHEN Yu1, DANG Jian-wu1, FENG Xin2, WANG Yang-ping1, HOU Yue1 |
1. School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China 2. College of Mechanical Engineering, Chongqing Technology and Business University, Chongqing 400067, China |
|
|
Abstract The present study an improved fusion algorithm was proposed based on the Tetrolet transform. It was used to solve the problems that the infrared and visible light images fusion speed is slow, the contrast of the fused image is low and it is easy to bring artifacts to the fused image. First of all, the visible light image was converted to the lαβ color space to get three irrelevant color channels. Secondly, the component l and infrared image were decomposed by the Tetrolet transform. The neighborhood energy and proximity were introduced to the low-pass coefficients fusion rule. The Tetrolet coefficients were observed by the pseudo-random Fourier matrix. The observation value was weightedly fused. Thirdly, the fused observation value were iterated by the CoSaMP optimization algorithm to get the fused Tetrolet coefficient. The fused gray image was got after the Tetrolet reconstruction. Finally, the final fused image was obtained by mapping the grey image to the RGB color space. The experiment results testified the algorithm validity for the image fusion.
|
Received: 2013-01-16
Accepted: 2013-04-05
|
|
Corresponding Authors:
SHEN Yu
E-mail: shenyu_sy@163.com
|
|
[1] GAO Shao-shu, JIN Wei-qi, WANG Xia. Spectroscopy and Spectral Analysis, 2012, 32(12): 3197. [2] Pan Hong, Li Xiaobing, Jin Lizuo. Journal of Infrared and Millimeter Waves, 2011, 30(1): 85. [3] Krommweh Jens, Ma Jianwei. Signal Processing, 2010, 90(8): 2529. [4] CHEN Yuan, ZHANG Rong, YIN Dong(陈 原,张 荣,伊 东). Journal of Electronics & Information Technology(电子与信息学报),2012,34(2):261. [5] PENG Zhou, TANG Lin-bo, ZHAO Bao-jun,et al(彭 洲,唐林波,赵保军,等). Systems Engineering and Electronics(系统工程与电子技术),2011,33(11):2536. [6] Candes E, Romberg J, Tao T. IEEE Trans. Inform. Theory, 2006, 52(2): 489. [7] ZHANG Qiang, GUO Bao-long(张 强,郭宝龙). Journal of Infrared and Millimeter Waves(红外与毫米波学报),2007,26(6):185. [8] Li X, Qin S Y. In IET Image Process, 2011, 5(2): 141. [9] Ruderman D L, Cronin T W, Chiao C C. Journal of the Optical Society of America, 1998, 15(8): 2036. [10] Krommweh J. Journal of Visual Communication and Image Representation, 2010, 21(4): 364. [11] Needell D, Tropp J A. Applied and Computational Harmonic Analysis, 2008, 26(3): 301. [12] Candes E J, Romberg J. Inverse Problem, 2007, 23(23): 969. [13] CoSaMP. http://dsp.rice.edu/cs. |
[1] |
LI Si-yuan, JIAO Jian-nan, WANG Chi*. Specular Reflection Removal Method Based on Polarization Spectrum
Fusion and Its Application in Vegetation Health Monitoring[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3607-3614. |
[2] |
ZHANG Qian1, YANG Ying1*, LIU Gang1, 2, 3, WU Xiao1, NING Yuan-lin1. Detection of Dairy Cow Mastitis From Thermal Images by Data Enhancement and Improved ResNet34[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(01): 280-288. |
[3] |
ZHU Wen-qing1, 2, 3, ZHANG Ning1, 2, 3, LI Zheng1, 2, 3*, LIU Peng1, 3, TANG Xin-yi1, 3. A Multi-Task Convolutional Neural Network for Infrared and Visible Multi-Resolution Image Fusion[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(01): 289-296. |
[4] |
XU Xue-bin1, 2, XING Xiao-min1, 2*, AN Mei-juan1, 2, CAO Shu-xin1, 2, MENG Kan1, 2, LU Long-bin1, 2. Palmprint Recognition Method Based on Multispectral Image Fusion[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(11): 3615-3625. |
[5] |
CUI Xiao-rong, SHEN Tao*, HUANG Jian-lu, SUN Bin-bin. Infrared Mid-Wave and Long-Wave Image Fusion Based on FABEMD and Improved Local Energy Window[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(07): 2043-2049. |
[6] |
SHEN Yu, YUAN Yu-bin*, PENG Jing. Research on Near Infrared and Color Visible Fusion Based on PCNN in Transform Domain[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(07): 2023-2027. |
[7] |
ZHOU Zi-jie1, ZHANG Bao-feng2*, YU Xiao2*. Infrared Spectroscopic Image Segmentation Based on Neural Immune Network With Growing Immune Field[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(05): 1652-1660. |
[8] |
WANG Zi-jun1, 2, LUO Yuan-yi1, 2*, JIANG Shang-zhi1, 2, XIONG Nan-fei1, 2, WAN Li-tao1, 2. An Improved Algorithm for Adaptive Infrared Image Enhancement Based on Guided Filtering[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(11): 3463-3467. |
[9] |
QIU Rong-chao1, LÜ Jun-wei1, GONG Jian1, LOU Shu-li2, XIU Bing-nan1, MA Xin-xing1. Smoothing Method for Sea Surface Rough Background Based on Multi-Spectral Forward-Looking Infrared Images Fusion[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(04): 1120-1126. |
[10] |
SHAO Lei, ZHANG Yi-ming, LI Ji*, LIU Hong-li, CHEN Xiao-qi, YU Xiao*. Research on High Temperature Region Segmentation of Infrared Pipeline Image Based on Improved Two-Dimensional-Otsu[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2019, 39(05): 1637-1642. |
[11] |
QIU Rong-chao1, LOU Shu-li2, LI Ting-jun1, GONG Jian1. Research on Detection of Ship Target at Sea Based on Multi-Spectral Infrared Images[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2019, 39(03): 698-704. |
[12] |
YU Xiao1, ZHOU Zi-jie1, Kamil Ríha2. Blurred Infrared Image Segmentation Using New Immune Algorithm with Minimum Mean Distance Immune Field[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(11): 3645-3652. |
[13] |
YUE Jiang1, WANG Zhao-xin1,HAN Jing2, BAI Lian-fa2, LI Bao-ming1*. A Target Extraction Method of Infrared Image Based on Edge and Transition Region[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(06): 1729-1735. |
[14] |
ZHANG Jin1, WANG Jie1, SHEN Yan3, ZHANG Jin-bo4, CUI Hong-liang1,2*, SHI Chang-cheng2*. Wavelet-Based Image Fusion Method Applied in the Terahertz Nondestructive Evaluation[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(12): 3683-3688. |
[15] |
LIU Feng1, SHEN Tong-sheng2, GUO Shao-jun1,ZHANG Jian3. Multi-Spectral Ship Target Recognition Based on Feature Level Fusion[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(06): 1934-1940. |
|
|
|
|