• Acta Optica Sinica
  • Vol. 29, Issue 7, 1818 (2009)
Gao Shibo*, Cheng Yongmei, Zhao Yongqiang, Pan Quan, and Wei Kun
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  • [in Chinese]
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    Gao Shibo, Cheng Yongmei, Zhao Yongqiang, Pan Quan, Wei Kun. Infrared Image Denoising Based on Stationary Wavelet Transform Using Tensor[J]. Acta Optica Sinica, 2009, 29(7): 1818 Copy Citation Text show less
    References

    [1] M. Kazubek. Wavelet domain image denoising by thresholding and Wiener filtering [J]. IEEE Signal Process. Lett., 2003, 10(11): 324~326

    [2] Zhang Jingjing, Fang Yonghua. Novel denoising method for remote sensing image based on contourlet transform [J]. Acta Optica Sinica, 2008, 28(3): 462~466

    [3] Hou Jianhua, Tian Jinwen, Liu Jian. Analysis of the errors in locally adaptive wavelet domain wiener filter and image denoising [J]. Acta Photonica Sinica, 2007, 36(1): 188~191

    [4] S. Ghael, A. Sayeed, R. Baraniuk. Improved wavelet denoising via empirical wiener filtering [C]. SPIE, 1997, 3169: 389~399

    [5] Gao Qingwei, Li Bin, Xie Guangjun et al.. An image de-noising method based on stationary wavelet stationary wavelet transform [J]. Journal of Computer Research and Development, 2002, 39(12): 1689~1694

    [6] Zhang Changjiang, Fu Mengyin, Zhang Qihong et al.. Infrared image de-noising based on discrete stationary wavelet transform [J]. Optical Technique, 2003, 29(2): 250~256

    [7] Zhou Fengqi, Di Xiaoguang, Zhou Jun. Method of infrared image denoising based on stationary multiwavelet transform [J]. J.Infrared Millim.Waves, 2005, 24(2): 151~155

    [8] L. Zhang, B. Paul, X. Wu. Multiscale LMMSE-based image denoising with optimal wavelet selection [J]. IEEE Trans. Circuits and Systems for Video Technology, 2005, 15(4): 469~481

    [9] Yan Fengxia, Cheng Lizhi. Image denoising exploiting inter- and intra-scale dependency in complex wavelet domain [J]. Chinese Opt. Lett., 2007, 5(3): 156~159

    [10] N. Le Bihan, G. Ginolhac. Three-mode data set analysis using higher order subspace method: application to sonar and seismo-acoustic signal processing [J]. Signal Processing, 2004, 84(5): 919~942

    [11] J. Huang, H. Wium, K. Qvist et al.. Multi-way methods in image analysis: relationship and application [J]. Chem. Intel. Lab. System, 2003, 66(2): 141~158

    [12] D. Muti, S. Bourennane. Survey on tensor signal algebraic filtering [J]. Signal Processing, 2007, 87(2): 237~249

    [13] N. Renard, S. Bourennane, J. Blanc-Talon. Multiway filtering applied on hyperspectral images [C]. ACIVS, Lecture Notes on Computer Science, 2006: 127~137

    [14] D. Letexier, S. Bourennane, J. Blanc-Talon. Nonorthogonal tensor matricization for hyperspectral image filtering [J]. IEEE Trans. Geosci. Remote Sens. Lett., 2008, 5(1): 3~7

    [15] Bai Junqi, Chen Qian. Algorithm for infrared image noise filtering based on anisotropic diffusion [J]. Acta Optica Sinica, 2008, 28(5): 866~869

    [16] F. Luisier, T. Blu, M. Unser. A new SURE approach to image denoising: interscale orthonormal wavelet thresholding [J]. IEEE Trans. Image Processing, 2007, 16(3): 593~606

    CLP Journals

    [1] Wu Yiquan, Shi Junpeng. Image Enhancement in Non-Subsampled Contourlet Transform Domain Based on Multi-Scale Retinex[J]. Acta Optica Sinica, 2015, 35(3): 310002

    [2] Zhan Bichao, Wu Yiquan, Ji Shouxin. Infrared Image Enhancement Method Based on Stationary Wavelet Transformation and Retinex[J]. Acta Optica Sinica, 2010, 30(10): 2788

    Gao Shibo, Cheng Yongmei, Zhao Yongqiang, Pan Quan, Wei Kun. Infrared Image Denoising Based on Stationary Wavelet Transform Using Tensor[J]. Acta Optica Sinica, 2009, 29(7): 1818
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