光子学报, 2012, 41 (5): 554, 网络出版: 2012-05-18   

基于梯度阈值自适应处理的红外图像超分辨率重建

Superresolution Reconstruction of Infrared Image Based on Selfadaptive Gradient Threshold
作者单位
1 中国电子科技集团第二十八研究所, 南京 210007
2 南京理工大学 近程高速目标探测技术国防重点学科实验室, 南京 210094
引用该论文

白俊奇, 郑坚, 赵春光, 王娴雅. 基于梯度阈值自适应处理的红外图像超分辨率重建[J]. 光子学报, 2012, 41(5): 554.

BAI Junqi, ZHENG Jian, ZHAO Chunguang, WANG Xianya. Superresolution Reconstruction of Infrared Image Based on Selfadaptive Gradient Threshold[J]. ACTA PHOTONICA SINICA, 2012, 41(5): 554.

参考文献

[1] 宋锐,吴成柯,封颖,等.一种新的基于MAP的纹理自适应超分辨率图像复原算法[J].电子学报,2009,37(5):11241129.

    SONG Rui, WU Chengke, FENG Ying, et al. A new MAP based texture adaptive superresolution image recon struction algorithm[J]. Acta Electronica Sinica, 2009, 37(5): 11241129.

[2] IRANI M, PELEG S. Improving resolution by image registration[J]. CVGIP: Graphical Models and Image Pro cessing, 1991, 53(3): 231239.

[3] KIM H, HONG K S. Variational approaches to super resolution with contrast enhancement and anisotropic diffusion[J]. Journal of Electronic Imaging, 2003, 12(2): 244251.

[4] CAPEL D, ZISSERMAN A. Superresolution enhancement of text image sequences[C]. Proceedings of 15th Interna tional Conference on Pattern Recognition, Washington DC:IEEE Computer Society, 2000, 600605.

[5] FARSIU S, ROBINSON M D, ELAD M, et al. Fast and robust multiframe super resolution[J]. IEEE Transactions on Image Processing, 2004, 13(10): 13271344.

[6] PHAM T Q, Van VLIET L J, SCHUTTE K. Robust superresolution by minimizing a Gaussian weighted ERROR NOrm[C]. 4th AIP International Conference and the 1st Congress of the IPIA, Journal of Physics: Conference Series124(2008)012037, pp120.

[7] HARDIE R C, DROEGE D R. A map estimator for simultaneous superresolution and detector nonunifomity correction[J]. EURASIP Journal on Advances in Signal Processing, 2007, ID89354, pp111.

[8] 娄帅, 丁振良, 袁峰,等. 一种空间自适应正则化MAP超分辨率重建算法[J]. 计算机应用与软件,2009,26(12):238240.

    LOU Shuai, DING Zhenliang, YUAN Feng, et al. Spatial adaptive regularized MAP superresolution recon struction algorithm[J]. Computer Applications and Software, 2009, 26(12): 238240.

[9] 肖创柏, 禹晶, 薛毅. 一种基于MAP的超分辨率图像重建的快速算法[J].计算机研究与发展,2009,46(5):872880.

    XIAO Chuangbai, YU Jing, XUE Yi. A novel fast algorithm for MAP superresolution image reconstruction[J]. Journal of Computer Research and Development, 2009, 46(5): 872880.

[10] 王素玉, 沈兰荪, 卓力,等. 一种基于权值矩阵的序列图像超分辨率盲复原算法[J]. 电子学报,2009, 37(6):11981202.

    WANG Suyu, SHEN Lansun, ZHUO Li, et al. A weight matrix based blind super resolution restoration algorithm[J]. Acta Electronica Sinica, 2009, 37(6): 1198 1202.

[11] SCHULTZ R R, STEVENSON R L. Extraction of high resolution frames from video sequences[J]. IEEE Transactions on Image Processing, 1996, 5(6): 9961011.

白俊奇, 郑坚, 赵春光, 王娴雅. 基于梯度阈值自适应处理的红外图像超分辨率重建[J]. 光子学报, 2012, 41(5): 554. BAI Junqi, ZHENG Jian, ZHAO Chunguang, WANG Xianya. Superresolution Reconstruction of Infrared Image Based on Selfadaptive Gradient Threshold[J]. ACTA PHOTONICA SINICA, 2012, 41(5): 554.

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