吉林大学学报(工学版) ›› 2016, Vol. 46 ›› Issue (4): 1239-1245.doi: 10.13229/j.cnki.jdxbgxb201604033

• Orginal Article • Previous Articles     Next Articles

Supper-resolution reconstruction of infrared images of compressive coded aperture

WANG Xin-hua1, 2, OUYANG Ji-hong1, PANG Wu-bin2   

  1. 1.College of Computer Science and Technology, Jilin University, Changchun 130012, China;
    2. State Key Laboratory of Applied Optics,Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China
  • Received:2015-03-05 Online:2016-07-20 Published:2016-07-20

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Abstract: In order to obtain high quality image information using infrared detector with low resolution, a compressive coded aperture imaging method based on the frequency spectrum plane and the Supper Resolution Image Reconstruction (SRIR) algorithm was investigated. First, the aperture encoder was added to the frequency spectrum plane, and the image sampling signal was compressive coded by Fourier transform. The, by virtue of the piecewise smooth of the optimal imaging system, the signal sparse representation was realized based on Fourier transform domain. Finally, the SRIR of the sparse signal was completed by improved Gradient Projection for Sparse Reconstruction (GPSR) parallel acceleration algorithm, which combined with GPSR-BB algorithm and adaptive non-monotone line search strategy. Experimental results indicate that the high resolution images can be constructed with information far less than that of the original signal.

Key words: computer application, compressed sensing, coded aperture, super resolution image reconstruction (SRIR)

CLC Number: 

  • TP394.1
[1] Donoho D L. Compressed sensing[J]. IEEE Transactions on Information Theory, 2006, 52(4):1289-1306.
[2] 焦李成, 杨淑媛, 刘芳, 等. 压缩感知回顾与展望[J]. 电子学报, 2011, 39(7):1651-1662.
Jiao Li-cheng, Yang Shu-yuan, Liu Fang, et al. Development and prospect of compressive sensing[J]. Acta Electronica Sinica, 2011, 39(7):1651-1662.
[3] 王忠良,冯燕,肖华,等.高光谱图像的分布式压缩感知成像与重构[J].光学精密工程,2015,23(4):1131-1137.
Wang Zhong-liang,Feng Yan,Xiao Hua.et al.Distributed compressive sensing imaging and reconstruction of hyperspectral imagery[J]. Optics and Precision Engineering,2015,23(4):1131-1137.
[4] 周渝人,耿爱辉,张强,等.基于压缩感知的红外与可见光图像融合[J].光学精密工程,2015,23(3):855-863.
Zhou Yu-ren, Geng Ai-hui, Zhang Qiang,et al. Fusion of infrared and visible images based on compressive sensing[J]. Optics and Precision Engineering,2015,23(3):855-863.
[5] Dharmpal T, Jason N L, Michael B W, et al. A new compressive imaging camera architecture using optical-domain compression[J]. SPIE-IS&T, 2006, 6065:606509-1-10.
[6] 严奉霞, 王泽龙, 朱炬波,等. 压缩感知理论与光学压缩成像系统[J]. 国防科技大学学报, 2014, 36(2):140-147.
Yan Feng-xia, Wang Ze-long, Zhu Ju-bo, et al. Compressive sensing theory and optical compressive imaging systems[J]. Journal of National University of Defense Technology, 2014, 36(2):140-147.
[7] 李珅, 马彩文, 李艳,等. 压缩感知重构算法综述[J]. 红外与激光工程, 2013, 42(增刊1):225-232.
Li Kun, Ma Cai-wen, Li Yan, et al. Survey on reconstruction algorithm based on compressive sensing[J]. Infrared and Laser Engineering, 2013, 42(Sup.1):225-232.
[8] Willett R M, Marcia R F, Nichols J M. Compressed sensing for practical optical imaging systems: a tutorial[J]. Optical Engineering, 2011, 50(7):072601-1-11.
[9] 王春哲, 李杰, 李明晶,等. 一种多扭曲失真图像的质量评价方法[J]. 液晶与显示, 2015, 30(04):681-686.
Wang Chun-zhe, Li Jie, Li Ming-jing, et al. Image quality assessment algorithm for multi-distorted image[J].Chinese Journal of Liquid Crystals and Displays , 2015, 30(4): 681-686.
[10] 曹雷, 陈洪斌, 邱琪, 等. 盲图像复原研究现状[J]. 中国光学, 2014,7(1): 68-78.
Cao Lei, Chen Hong-bin, Qiu Qi, et al. Research status of blind image restoration[J]. Chinese Optics, 2014,7(1): 68-78.
[11] 柯洪昌, 孙宏彬. 图像序列的显著性目标区域检测方法[J]. 中国光学, 2015,8(5): 768-774.
Ke Hong-chang, Sun Hong-bin. A saliency target area detection method of image sequence[J]. Chinese Optics, 2015,8(5): 768-774.
[12] 张振东, 陈健, 王伟国, 等. 基于SSIM_NCCDFT的超分辨率复原评价方法研究[J]. 液晶与显示, 2015, 30(4): 713-721.
Zhang Zhen-dong, Chen Jian, Wang Wei-guo, et al. Evaluation method of super-resolution restoration based on SSIM_NCCDFT[J].Chinese Journal of Liquid Crystals and Displays, 2015, 30(4): 713-721.
[13] Yang J, Wright J, Huang T S, et al. Image super-resolution via sparse representation[J]. IEEE Transaction on Image Processing, 2010, 19(11):2861-2873.
[14] 邓承志, 田伟, 汪胜前,等. 近似稀疏正则化的红外图像超分辨率重建[J]. 光学精密工程, 2014, 22(6): 1648-1654.
Deng Cheng-zhi, Tian Wei, Wang Sheng-qian, et al. Super-resolution reconstruction of approximate sparsity regularized infrared images[J]. Optics and Precision Engineering, 2014, 22(6):1648-1654.
[15] 王军华, 黄知涛, 周一宇,等. 基于近似l0的稳健稀疏重构算法[J]. 电子学报, 2012, 40(6):1185-1189.
Wang Jun-hua, Huang Zhi-tao, Zhou Yi-yu, et al. Robust saprse reconvery based on approximate l0 Norm[J]. Acta Electronica Sinica, 2012, 40(6):1185-1189.
[16] Figueiredo M A T, Nowak R D, Wright S J. Gradient projection for sparse reconstruction: application to compressed sensing and other inverse problems[J]. IEEE Journal of Selected Topics in Signal Processing, 2007, 1(4):586-597.
[17] Dai Y H, Zhang H. Adaptive two-point stepsize gradient algorithm[J]. Numerical Algorithms, 2001, 27(4):377-385.
[18] Hu Sheng-long, Huang Zheng-hai, Lu Nan. A non-monotone line search algorithm for unconstrained optimization[J]. Journal of Scientific Computer, 2010, 42(1):38-53.
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