Laser & Optoelectronics Progress, Volume. 56, Issue 9, 091005(2019)

Scale-Perception Image Denoising Algorithm Based on Residual Learning

Huan Chen1,2 and Qingjiang Chen2、*
Author Affiliations
  • 1 Department of Fundamentals, Shaanxi Institute of International Trade & Commerce, Xianyang, Shaanxi 712046, China;
  • 2 School of Science, Xi'an University of Architecture and Technology, Xi'an, Shaanxi 710055, China
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    References(17)

    [1] Bijalwan A, Goyal A, Sethi N. Wavelet transform based image denoise using threshold approaches[J]. International Journal of Engineering & Advanced Technology, 1, 218-221(2012).

    [2] Bansal M, Devi M, Jain N et al. A proposed approach for biomedical image denoising using PCA_NLM[J]. International Journal of Bio-Science & Bio-Technology, 6, 13-30(2014).

    [6] Gu S H, Zhang L, Zuo W M et al. Weighted nuclear norm minimization with application to image denoising. [C]∥IEEE Conference on Computer Vision and Pattern Recognition, June 23-28, 2014, Columbus, OH, USA. New York: IEEE, 2862-2869(2014).

    [11] Zoran D, Weiss Y. From learning models of natural image patches to whole image restoration. [C]∥International Conference on Computer Vision, November 6-13, 2011, Barcelona, Spain. New York: IEEE, 479-486(2011).

    [17] Zhang Q, Shen X, Xu L et al. Rolling guidance filter[J]. Oral Presentation, 8691, 815-830(2014).

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    Huan Chen, Qingjiang Chen. Scale-Perception Image Denoising Algorithm Based on Residual Learning[J]. Laser & Optoelectronics Progress, 2019, 56(9): 091005

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    Paper Information

    Category: Image Processing

    Received: Nov. 3, 2018

    Accepted: Dec. 6, 2018

    Published Online: Jul. 5, 2019

    The Author Email: Chen Qingjiang (404787245@qq.com)

    DOI:10.3788/LOP56.091005

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