红外技术, 2015, 37 (5): 418, 网络出版: 2015-06-11  

基于ST与量子理论模型的红外与可见光图像融合

Fusion for Infrared and Visible Light Images Based on Shearlet Transform and Quantum Theory Model
作者单位
信阳农林学院计算机系, 河南 信阳 464000
引用该论文

张耀军, 吴桂玲, 栗磊. 基于ST与量子理论模型的红外与可见光图像融合[J]. 红外技术, 2015, 37(5): 418.

ZHANG Yao-jun, WU Gui-ling, LI Lei. Fusion for Infrared and Visible Light Images Based on Shearlet Transform and Quantum Theory Model[J]. Infrared Technology, 2015, 37(5): 418.

参考文献

[1] Li X,Qin S Y.Efficient fusion for infrared and visible images based on compressive sensing principle[J].IET Image Processing,2011,5(2):141-147.

[2] Chang X,Jiao L C,Liu F,et al.Multicontourlet-based adaptive fusion of infrared and visible remote sensing images[J].IEEE Geoscience and Remote Sensing Letters,2010,7(3):549-553.

[3] Kong W W,Lei Y,Ni X L.Fusion techniques for grey-scale visible lightand infrared images based on non-subsampled contourlet transform and intensity hue saturation transform[J].IET Signal Processing,2009,5(1):75-80.

[4] Ulusoy I,Yuruk H.New method for the fusion of complementary information from infrared and visual images for object detection[J].IET Image Processing,2011,5(1):36-48.

[5] 郑继明,耿金玲.小波变换在图像融合中的应用研究[J].重庆邮电大学学报:自然科学版,2008,20(5):561-567.

[6] 刘斌,刘维杰,彭嘉雄.采用三通道不可分对称小波的红外与可见光图像融合[J].红外与激光工程,2011,40(5):974-979.

[7] 孙新德,刘国梅,薄树奎.基于QPSO 和统计特征的红外与可见光图像融合[J].红外技术,2014,36(11):900-904.

[8] 刘思汝,杨风暴,陈磊.基于关键帧提取的红外与可见光序列图像快速融合[J].红外技术,2014,36(5):350-354.

[9] 王宇庆,王索建.红外与可见光融合图像的质量评价[J].中国光学,2014,7(3):396-401.

[10] 陈小林,王延杰.非下采样变换的红外与可见光图像融合[J].中国光学,2011,4(5):489-496.

[11] 赵子沂,郑永果.基于脊波的多光谱和全色图像融合方法研究[J].计算机工程与应用,2012,48(15):164-167.

[12] 赵景朝,曲仕茹.基于Curvelet 变换与自适应PCNN 的红外与可见光图像融合[J].西北工业大学学报,2011,29(6):849-853.

[13] 薛琴,范勇,李绘卓,等.基于曲波变换的红外与可见光图像融合算法[J].计算机工程,2011,37(3):224-226.

[14] 王斐,梁晓庚,崔彦凯,等.非负矩阵分解和新轮廓波变换的图像融合方法[J].计算机工程与应用,2013,49(5):150-153.

[15] 莫建文,马爱红,首照宇,等.基于Brenner 函数与新轮廓波变换的多聚焦融合算法[J].计算机应用,2012,32(12):3353-3356.

[16] 冯鑫,王晓明,党建武,等.基于Shearlet 变换的红外与可见光图像融合[J].光电子激光,2013,24(2):384-390.

[17] 郑红,郑晨,闫秀生,等.基于剪切波变换的可见光与红外图像融合算法[J].仪器仪表学报,2012,33(7):1613-1619.

[18] Miao Q G,Shi C,Xu P F,et al.A novel algorithm of image fusion using shearlets[J].Optics Communications,2011,284(6):1540-1547.

[19] Tseng C C,Hwang T M.Quantum digital image processing algorithms[C]//16th IPPR Conference on Computer Vision,Graphics and Image Processing,Kinmen,2003:827-834.

[20] Yuan S Z,Mao X,Chen L J,et al.Quantum digital image processing algorithms based on quantum measurement[J].Optik,2013,124(23):6386-6390.

[21] Easley G,Labate D,Lim W Q.Sparse directional image representation using the discrete shearlet transform[J].Applied and Computational Harmonic Analysis,2008,25(1):25-46.

[22] 谢可夫,许悟生.量子衍生图像分解和边缘检测[J].计算机应用,2013,33(4):1089-1091.

[23] 付游,许悟生,谢可夫.基于量子理论的自适应图像融合规则[J/OL].计算机工程与应用,2014:http://www.cnki.net/kcms/doi/10.3778/j.issn.1002-8331.1310-0273.html.

[24] Wang Z B,Ma Y D.Medical image fusion using m-PCNN[J].Information Fusion,2008,9(2):176-185.

[25] Burt P,Adelson E.The laplacian pyramid as a compact image code[J].IEEE Transactions on Communications,1983,31(4):532-540.

[26] Liu Z,Blasch E,Xue Z Y,et al.Fusion algorithms for context enhancement in night vision:a comparative study[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2012,34(1):94-109.

张耀军, 吴桂玲, 栗磊. 基于ST与量子理论模型的红外与可见光图像融合[J]. 红外技术, 2015, 37(5): 418. ZHANG Yao-jun, WU Gui-ling, LI Lei. Fusion for Infrared and Visible Light Images Based on Shearlet Transform and Quantum Theory Model[J]. Infrared Technology, 2015, 37(5): 418.

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