光学 精密工程, 2018, 26 (5): 1242, 网络出版: 2018-08-14   

结合引导滤波和卷积稀疏表示的红外与可见光图像融合

Infrared and visible image fusion using guided filter and convolutional sparse representation
作者单位
1 陆军工程大学 石家庄校区 电子与光学工程系, 河北 石家庄 050003
2 中国人民解放军32181部队, 河北 石家庄 050000
引用该论文

刘先红, 陈志斌, 秦梦泽. 结合引导滤波和卷积稀疏表示的红外与可见光图像融合[J]. 光学 精密工程, 2018, 26(5): 1242.

LIU Xian-hong, CHEN Zhi-bin, QIN Meng-ze. Infrared and visible image fusion using guided filter and convolutional sparse representation[J]. Optics and Precision Engineering, 2018, 26(5): 1242.

参考文献

[1] 殷明, 段普宏, 褚标, 等. 基于非下采样双树复轮廓波变换和稀疏表示的红外和可见光图像融合 [J]. 光学 精密工程, 2016, 24(7): 1763-1771.

    YIN M, DUAN P H, CHU B, et al.. Fusion of infrared and visible images combined with NSDTCT and sparse representation [J]. Opt. Precision Eng., 2016, 24(7): 1763-1771. (in Chinese)

[2] 张蕾, 金龙旭, 韩双丽, 等. 采用非采样Contourlet变换与区域分类的红外和可见光图像融合 [J]. 光学 精密工程, 2015, 23(3): 810-818.

    ZHANG L, JIN L X, HAN SH L, et al.. Fusion of infrared and visual images based on non-sampled Contourlet transform and region classification [J]. Opt. Precision Eng., 2015, 23(3): 810-818. (in Chinese)

[3] 孔韦韦, 雷英杰, 雷阳, 等. 基于改进型NSCT变换的灰度可见光与红外图像融合方法 [J]. 控制与决策, 2010, 25(11): 1607-1612.

    KONG W W, LEI Y J, LEI Y, et al.. Fusion method for gray-scale visible light and infrared images based on improved NSCT [J]. Control and Decision, 2010, 25(11): 1607-1612. (in Chinese)

[4] 李栋, 王敬东, 李鹏. 基于NSCT变换和小波变换相结合的图像融合算法研究 [J]. 光电子技术, 2011, 31(2): 87-92.

    LI D, WANG J D, LI P. Image fusion algorithms by combining NSCT and wavelet transform [J]. Optoelectronic Technology, 2011, 31(2): 87-92. (in Chinese)

[5] 周志强, 汪渤, 李立广, 等. 基于双边与高斯滤波混合分解的图像融合方法 [J]. 系统工程与电子技术, 2016, 38(1): 8-13.

    ZHOU ZH Q, WANG B, LI L G, et al.. Image fusion based on a hybrid decomposition via bilateral and Gaussian filters [J]. Systems Engineering and Electronics, 2016, 38(1): 8-13. (in Chinese)

[6] ZHAO J F, ZHOU Q, CHEN Y T, et al.. Fusion of visible and infrared images using saliency analysis and detail preserving based image decomposition [J]. Infrared Physics & Technology, 2013, 56: 93-99.

[7] ZHAO J F, FENG H J, XU ZH H, et al.. Detail enhanced multi-source fusion using visual weight map extraction based on multi scale edge preserving decomposition [J]. Optics Communications, 2013, 287: 45-52.

[8] HU J W, LI SH T. The multiscale directional bilateral filter and its application to multisensor image fusion [J]. Information Fusion, 2012, 13(3): 196-206.

[9] LI SH T, KANG X D, HU J W. Image fusion with guided filtering [J]. IEEE Transactions on Image Processing, 2013, 22(7): 2864-2875.

[10] MENG X CH, LI J, SHEN H F, et al.. Pansharpening with a guided filter based on three-layer decomposition [J]. Sensors, 2016, 16(7): 1068.

[11] BENNETT E P, MASON J L, MCMILLAN L. Multispectral bilateral video fusion [J]. IEEE Transactions on Image Processing, 2007, 16(5): 1185-1194.

[12] LIU Y, WANG Z F. A practical pan-sharpening method with wavelet transform and sparse representation [C]. Proceedings of 2013 IEEE International Conference on Imaging Systems and Techniques, IEEE, 2013: 288-293.

[13] LIU Y, LIU SH P, WANG Z F. A general framework for image fusion based on multi-scale transform and sparse representation [J]. Information Fusion, 2015, 24: 147-164.

[14] ELAD M, YAVNEH I. A plurality of sparse representations is better than the sparsest one alone [J]. IEEE Transactions on Information Theory, 2009, 55(10): 4701-4714.

[15] 刘盛鹏, 方勇. 基于Contourlet变换和IPCNN的融合算法及其在可见光与红外线图像融合中的应用 [J]. 红外与毫米波学报, 2007, 26(3): 217-221.

    LIU SH P, FANG Y. Infrared image fusion algorithm based on Contourlet transform and improved pulse coupled neural network [J]. Journal of Infrared and Millimeter Waves, 2007, 26(3): 217-221. (in Chinese)

[16] GENG P, WANG ZH Y, ZHANG ZH G, et al.. Image fusion by pulse couple neural network with shearlet [J]. Optical Engineering, 2012, 51(6): 067005.

[17] QU X B, YAN J W, XIAO H ZH, et al.. Image fusion algorithm based on spatial frequency-motivated pulse coupled neural networks in nonsubsampled contourlet transform domain [J]. Acta Automatica Sinica, 2008, 34(12): 1508-1514.

[18] HUANG W, JING ZH L. Evaluation of focus measures in multi-focus image fusion [J]. Pattern Recognition Letters, 2007, 28(4): 493-500.

[19] 李奕, 吴小俊. 粒子群进化学习自适应双通道脉冲耦合神经网络图像融合方法研究 [J]. 电子学报, 2014, 42(2): 217-222.

    LI Y, WU X J. A novel image fusion method using self-adaptive dual-channel pulse coupled neural networks based on PSO evolutionary learning [J]. Acta Electronica Sinica, 2014, 42(2): 217-222. (in Chinese)

[20] HE K M, SUN J, TANG X O. Guided image filtering [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013, 35(6): 1397-1409.

[21] WOHLBERG B. Efficient algorithms for convolutional sparse representations [J]. IEEE Transactions on Image Processing, 2016, 25(1): 301-315.

[22] DA CUNHA A L, ZHOU J, DO M N. The nonsubsampled contourlet transform: theory, design, and applications [J]. IEEE Transactions on Image Processing, 2006, 15(10): 3089-3101.

[23] 李俊峰, 李其申, 张永, 等. 非下采样方向滤波器组在遥感图像融合中的应用 [J]. 中国图象图形学报, 2009, 14(10): 2047-2053.

    LI J F, LI Q SH, ZHANG Y, et al.. The non-subsampled directional filter bank and its application in remote sensing image fusion [J]. Journal of Image and Graphics, 2009, 14(10): 2047-2053. (in Chinese)

[24] BURT P J, KOLCZYNSKI R J. Enhanced image capture through fusion [C]. Proceedings of the 4th International Conference on Computer Vision, IEEE, 1993: 173-182.

[25] 汪玉美, 陈代梅, 赵根保. 基于目标提取与拉普拉斯变换的红外和可见光图像融合算法 [J]. 激光与光电子学进展, 2017, 54(1): 11002.

    WANG Y M, CHEN D M, ZHAO G B. Image fusion algorithm of infrared and visible images based on target extraction and Laplace transformation [J]. Laser & Optoelectronics Progress, 2017, 54(1): 11002. (in Chinese)

[26] 王昕, 吉桐伯, 刘富. 结合目标提取和压缩感知的红外与可见光图像融合 [J]. 光学 精密工程, 2016, 24(7): 1743-1753.

    WANG X, JI T B, LIU F. Fusion of infrared and visible images based on target segmentation and compressed sensing [J]. Opt. Precision Eng., 2016, 24(7): 1743-1753. (in Chinese)

刘先红, 陈志斌, 秦梦泽. 结合引导滤波和卷积稀疏表示的红外与可见光图像融合[J]. 光学 精密工程, 2018, 26(5): 1242. LIU Xian-hong, CHEN Zhi-bin, QIN Meng-ze. Infrared and visible image fusion using guided filter and convolutional sparse representation[J]. Optics and Precision Engineering, 2018, 26(5): 1242.

本文已被 9 篇论文引用
被引统计数据来源于中国光学期刊网
引用该论文: TXT   |   EndNote

相关论文

加载中...

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!