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Articles

Single-shot blind uniform motion deblurring with ringing reduction

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Pages 484-499 | Received 24 Apr 2017, Accepted 17 Jul 2017, Published online: 16 Sep 2017

References

  • Khan A, Yin H. Efficient blind image deconvolution using spectral non-gaussianity. Integr Comput Aided Eng. 2012;19(4):331–340.
  • Gonzalez R, Woods R, Eddins S. Digital image processing using MATLAB. Upper Saddle River (NJ): Pearson Prentice-Hall; 2004.
  • Wang Ruxin, Tao Dacheng. Recent progress in image deblurring. arXiv preprint arXiv:1409.6838; 2014.
  • Gennery DB. Determination of optical transfer function by inspection of frequency domain plot. J Opt Soc Am. 1973;63(12):1571–1577. doi: 10.1364/JOSA.63.001571
  • Oliveira JP, Figueiredo MA, Bioucas-Dias JM. Parametric blur estimation for blind restoration of natural images: linear motion and out-of-focus. IEEE Trans Image Process. 2014 Jan;23(1):466–477. doi: 10.1109/TIP.2013.2286328
  • Cannon M. Blind deconvolution of spatially invariant image blurs with phase. IEEE Trans Acoust. 1976;24(1):56–63. doi: 10.1109/TASSP.1976.1162770
  • Chen Chao ho, Rui Zang. Image restoration for linear local motion blur based on cepsturm. International Conference on Genetic and Evolutionary Computing. 2012. p. 333–335.
  • Park Junseong, Kim Min, Chang Soonkeun, et al. Estimation of motion blur parameters using cepstrum analysis. IEEE 15th Int Symp Consum Electron (ISCE). 2011:406–409.
  • Deshpande AM, Patnaik S. Single image motion deblurring: an accurate PSF estimation and ringing reduction. Int J Light Electron Opt. 2014;125(14):3612–3618. doi: 10.1016/j.ijleo.2014.01.126
  • Mittal A, Moorthy K, Bovik AC. No-reference image quality assessment in the spatial domain. IEEE Trans Image Process. 2012;21(12):4695–4708. doi: 10.1109/TIP.2012.2214050
  • Lucy LB. An iterative technique for the rectification of observed distributions. Astron J. 1974;79(6):745–754. doi: 10.1086/111605
  • Richardson WH. Bayesian-based iterative method of image restoration. J Opt Soc Am. 1972;62(1):55–59. doi: 10.1364/JOSA.62.000055
  • Tai YW, Tan P, Brown MS. Richardson–Lucy deblurring for scenes under a projective motion path. IEEE Trans Pattern Anal Mach Intell. 2011;33:1603–1618. doi: 10.1109/TPAMI.2010.222
  • Zhao J Feng, Feng H Jun, Xu Z Hai, et al. An improved image restoration approach using adaptive local constraint. Optik – Int J Light Electron Opt. 2012;123:982–985. doi: 10.1016/j.ijleo.2011.07.014
  • Yongpan Wang, Huajun Feng, Zhihai Xu, et al. An improved Richardson–Lucy algorithm based on local prior. Opt Laser Technol. 2010;42:845–849. doi: 10.1016/j.optlastec.2010.01.001
  • Yuan L, Sun J, Quan L, et al. Progressive interscale and intrascale non-blind image deconvolution. ACM Trans Graphic. 2008;27(3). doi: 10.1145/1360612.1360673
  • Lokhande R, Arya KV, Gupta P. Identification of parameters and restoration of motion blur images. ACM Symp Appl Comput. 2006:301–305.
  • Qi Xing Yu. Motion deblurring for optical character recognition. Singapore: National University of Singapore; 2004.
  • Toft P. The Radon transform: theory and implementation [Ph.D. Thesis]. Copenhagen, Denmark: Technical University of Denmark; 1996.
  • Dai S, Han M, Xu W, et al. Softcuts: a soft edge smoothness prior for color image super-resolution. IEEE Trans Image Process. 2009;1(5):969–981.
  • Shah A, Gupta SB. Adaptive directional decomposition in non sub sample contourlet transform domain for single image super resolution. J Multimed Tools Appl. 2015;74(14):8443–8467.
  • Desktop Nexus Wallpaper Image Database. Available from http://www.desktopnexus.com/.
  • Fergus R, Singh B, Hertzmann A, et al. Removing camera shake from a single photograph. ACM Trans Graph.. 2006;25(3):787–794. doi: 10.1145/1141911.1141956
  • Xu L, Jia J. Two-phase kernel estimation for robust motion deblurring. In ECCV; 2010. p. 157–170.
  • Wang Z, Bovik AC, Sheikh HR, et al. Image quality assessment: from error visibility to structural similarity. IEEE Trans Image Process. 2004;13(4):600–612. doi: 10.1109/TIP.2003.819861
  • Zhang L, Zhang L, Mou X, et al. FSIM: a feature similarity index for image quality assessment. IEEE Trans Image Process. 2011;20(8):2378–2386. doi: 10.1109/TIP.2011.2109730

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