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[4] D.KrishnanandR.Fergus. Fast imagedeconvolutionusinghyper-Laplacianpriors. InAdvances inNeural InformationProcessingSystems, pages1033–1041,2009. [5] G. Liu, S. Chang, and Y. Ma. Blind image deblurring using spectral properties of convolution operators. IEEE Transactionson ImageProcessing, 23(12):5047–5056,2014. [6] L.B.Lucy. Aniterative technique for the rectificationofobserveddistributions. TheAstronom- ical Journal, 79(6):745–754, June1974. [7] P. Moser. Blind image deblurring using the deconvolution operator’s spectral properties and non-linear kernel estimation. Master’s thesis,UMIT,Hall/Tyrol,Austria, 2015. [8] N. Persch, A. Elhayek, M. Welk, A. Bruhn, S. Grewenig, K. Bo¨se, A. Kraegeloh, and J. We- ickert. Enhancing 3-D cell structures in confocal and STED microscopy: a joint model for interpolation, deblurring and anisotropic smoothing. Measurement Science and Technology, 24(12):125703, 2013. [9] W. H. Press, S. A. Teukolsky, W. T. Vetterling, and B. T. Flannery. Numerical Recipes. The Art of ScientificComputing. ThirdEdition. CambridgeUniversityPress,Cambridge,2007. [10] W.H.Richardson. Bayesian-based iterativemethodof imagerestoration. Journalof theOptical SocietyofAmerica, 62(1):55–59, 1972. [11] K. Schelten, S. Nowozin, J. Jancsary, C. Rother, and S. Roth. Interleaved regression tree field cascades for blind image deconvolution. In IEEE Winter Conference on Applications of Com- puterVision, pages494–501, 2015. [12] C. J. Schuler, H. C. Burger, S. Harmeling, and B. Scho¨lkopf. A machine learning approach for non-blind imagedeconvolution. In IEEEConferenceonComputerVisionandPatternRecogni- tion (CVPR), pages 1067–1074, 2013. [13] M.Welk. Arobustvariationalmodel forpositive imagedeconvolution. Signal, ImageandVideo Processing, 10(2):369–378, 2016. [14] M.Welk,P.Raudaschl,T.Schwarzbauer,M.Erler, andM.La¨uter. Fastandrobust linearmotion deblurring. Signal, ImageandVideoProcessing, 9(5):1221–1234,2015. [15] N. Wiener. Extrapolation, Interpolation and Smoothing of Stationary Time Series with Engi- neeringApplications. MITPress, Cambridge,MA,1949. [16] L. Xu and J. Jia. Two-phase kernel estimation for robust motion deblurring. In K. Daniilidis, P. Maragos, and N. Paragios, editors, Computer Vision – ECCV 2010, Part I, volume 6311 of LectureNotes in ComputerScience, pages157–170.Springer,Berlin, 2010. [17] L.Xu,J.SJ.Ren,C.Liu,andJ.Jia. Deepconvolutionalneuralnetworkfor imagedeconvolution. InAdvances inNeural Information ProcessingSystems, pages1790–1798,2014. [18] Y.-L.YouandM.Kaveh. Anisotropicblindimagerestoration. InProc.1996IEEEInternational ConferenceonImageProcessing, volume2,pages461–464,Lausanne,Switzerland,September 1996. [19] M. E. Zervakis, A. K. Katsaggelos, and T. M. Kwon. A class of robust entropic functionals for image restoration. IEEE Transactionson ImageProcessing, 4(6):752–773, June1995. 60