• Laser & Optoelectronics Progress
  • Vol. 57, Issue 24, 241022 (2020)
Qing Qi1、2、*, Jichang Guo2, and Shanji Chen1
Author Affiliations
  • 1School of Physics and Electronic Information Engineering, Qinghai Nationalities University, Xining, Qinghai 810007, China
  • 2School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China
  • show less
    DOI: 10.3788/LOP57.241022 Cite this Article Set citation alerts
    Qing Qi, Jichang Guo, Shanji Chen. Blind Image Deblurring Based on Image Edge Determination Mechanism[J]. Laser & Optoelectronics Progress, 2020, 57(24): 241022 Copy Citation Text show less
    References

    [1] Whyte O, Sivic J, Zisserman A et al. Non-uniform deblurring for shaken images[J]. International Journal of Computer Vision, 98, 168-186(2012). http://ieeexplore.ieee.org/xpls/icp.jsp?arnumber=5540175

    [2] Pan J S, Sun D Q, Pfister H et al. Blind image deblurring using dark channel prior[C]∥2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 27-30, 2016, Las Vegas, NV, USA., 1628-1636(2016).

    [3] Krishnan D, Tay T, Fergus R et al. Blind deconvolution using a normalized sparsity measure[C]∥Proceedings of 2011 IEEE International Conference on Computer Vision and Pattern Recognition, June 20-25, Colorado Springs, Colorado, USA., 233-240(2011).

    [4] Cho S, Lee S. Fast motion deblurring[J]. ACM Transactions on Graphics, 28, 145(2009).

    [5] Ren W Q, Cao X C, Pan J S et al. Image deblurring via enhanced low-rank prior[J]. IEEE Transactions on Image Processing, 25, 3426-3437(2016).

    [6] Li C Y, Guo C L, Ren W Q et al. An underwater image enhancement benchmark dataset and beyond[J]. IEEE Transactions on Image Processing, 29, 4376-4389(2020).

    [7] Li C Y, Guo J C, Guo C L. Emerging from water: Underwater image color correction based on weakly supervised color transfer[J]. IEEE Signal Processing Letters, 25, 323-327(2018).

    [8] Li C Y, Anwar S, Porikli F. Underwater scene prior inspired deep underwater image and video enhancement[J]. Pattern Recognition, 98, 107038(2020).

    [9] Cai C D, Huo G Y, Zhou Y et al. Underwater image restoration method based on scene depth estimation and white balance[J]. Laser & Optoelectronics Progress, 56, 031008(2019).

    [10] Jin W P, Guo J C, Qi Q. Underwater image enhancement based on conditional generative adversarial network[J]. Laser & Optoelectronics Progress, 57, 141002(2020).

    [11] GongD, YangJ, Liu LQ, et al.From motion blur to motion flow: A deep learning solution for removing heterogeneous motion blur[C]∥2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 21-26, 2017, Honolulu, HI, USA. New York: IEEE Press, 2017: 3806- 3815.

    [12] Sun J, Cao W, Xu Z et al. Learning a convolutional neural network for non-uniform motion blur removal[C]∥2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 7-12, 2015, Boston, MA, USA., 769-777(2015).

    [13] Nah S, Kim T H, Lee K M. Deep multi-scale convolutional neural network for dynamic scene deblurring[C]∥2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 21-26, 2017, Honolulu, HI, USA., 257-265(2017).

    [14] Goodfellow I, Pouget-Abadie J, Mirza M et al. Generative adversarial nets[C]∥Advances in Neural Information Processing Systems, December 8-13, Montréal CANADA., 2672-2680(2014).

    [15] KupynO, BudzanV, MykhailychM, et al.DeblurGAN: blind motion deblurring using conditional adversarial networks[C]∥2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 18-23, 2018, Salt Lake City, UT, USA. New York: IEEE Press, 2018: 8183- 8192.

    [16] Kupyn O, Martyniuk T, Wu J R et al. DeblurGAN-, 8877-8886(2019).

    [17] Madam N T, Kumar S, Rajagopalan A N[M]. Unsupervised class-specific deblurring, 358-374(2018).

    [18] Ronneberger O, Fischer P, Brox T[M]. U-net: Convolutional networks for biomedical image segmentation, 234-241(2015).

    [19] Isola P, Zhu J Y, Zhou T H et al. Image-to-image translation with conditional adversarial networks[C]∥2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 21-26, 2017, Honolulu, HI, USA., 5967-5976(2017).

    [20] Ulyanov D, Vedaldi A. -09-03)[2020-06-01]. https:∥blog.csdn.net/qq_42192910/article/details/100528305.(2019).

    [21] Maas A L, Hannun A, Ng A. Rectifier nonlinearities improve neural network acoustic models[C]∥Proceedings of 2013 International Conference on Machine Learning. June 16-21, Atlanta, USA.(2013).

    [22] Simonyan K. -04-10)[2020-06-01]. https:∥arxiv., org/abs/1409, 1556(2015).

    [23] Gulrajani I, Ahmed F, Arjovsky M et al. -12-25) [2020-06-01]. https:∥arxiv., org/abs/1704, 00028(2017).

    [24] Machine Intelligence. PAMI-[J]. Canny J. A computational approach to edge detection. IEEE Transactions on Pattern Analysis, 8, 679-698(1986).

    [25] Köhler R, Hirsch M, Mohler B et al. Recording and playback of camera shake: Benchmarking blind deconvolution with a real-world database[M]. ∥Computer Vision-ECCV 2012. Berlin, Heidelberg: Springer, 27-40(2012).

    [26] Lai W S, Huang J B, Hu Z et al. A comparative study for single image blind deblurring[C]∥2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 27-30, 2016, Las Vegas, NV, USA., 1701-1709(2016).

    [27] Kingma D P. -06-30) [2020-06-01]. https:∥arxiv., org/abs/1412, 6980(2017).

    [28] Wang Z, Bovik A C, Sheikh H R et al. Image quality assessment: From error visibility to structural similarity[J]. IEEE Transactions on Image Processing, 13, 600-612(2004).

    Qing Qi, Jichang Guo, Shanji Chen. Blind Image Deblurring Based on Image Edge Determination Mechanism[J]. Laser & Optoelectronics Progress, 2020, 57(24): 241022
    Download Citation