LEADER 04334nam 22006495 450 001 9910503008703321 005 20251229071247.0 010 $a981-16-2701-0 024 7 $a10.1007/978-981-16-2701-9 035 $a(CKB)4100000012036823 035 $a(MiAaPQ)EBC6734431 035 $a(Au-PeEL)EBL6734431 035 $a(OCoLC)1269317033 035 $a(PPN)258053844 035 $a(BIP)81715698 035 $a(BIP)79965321 035 $a(DE-He213)978-981-16-2701-9 035 $a(EXLCZ)994100000012036823 100 $a20210925d2021 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMathematical Methods in Image Processing and Inverse Problems $eIPIP 2018, Beijing, China, April 21?24 /$fedited by Xue-Cheng Tai, Suhua Wei, Haiguang Liu 205 $a1st ed. 2021. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2021. 215 $a1 online resource (226 pages) 225 1 $aSpringer Proceedings in Mathematics & Statistics,$x2194-1017 ;$v360 300 $aIncludes author index. 311 08$a981-16-2700-2 327 $aC. Wang, R. Chan, R. Plemmons, Sudhakar Prasad,Point Spread Function Engineering for 3D Imaging of Space Debris using a Continuous Exact $\ell_0$ Penalty (CEL0) Based Algorithm\ -- S. Wei, S. Leung, An Adjoint State Method for a Schr\"odinger Inverse Problem -- Ke Chen, On A New Diffeomorphic Multi-modality Image Registration Model and Its Convergent Gauss-Newton Solver -- Y. He, M. Huska, S. Ha Kang, H. Liu, Fast Algorithms for Surface Reconstruction from Point Cloud -- H. Pan, Y. Wen, A Total Variation Regularization Method for Inverse Source Problem with Uniform Noise -- S. Morigi, A. Lanza, F. Sgallari, Automatic Parameter Selection Based on Residual Whiteness for Convex non-convex Variational Restoration -- Michael Ng, M. Qiao, Total Variation Gamma Correction Method for Tone Mapped HDR Images -- X. Yuan, On the Optimal Proximal Parameter of an ADMM-like Splitting Method for Separable Convex Programming -- X. Ding, H. Yang, R. Chan, Hui Hu, Y. Peng, T. Zeng, A newinitialization method for neural networks with weight sharing -- S.-Nee Chow, Jun Lu, H. Zhou, The Shortest path amid 3-D polyhedral obstacles -- Y. Chen, J. Wan, Multigrid Methods for Image Registration Model based on Optimal Mass Transport. 330 $aThis book contains eleven original and survey scientific research articles arose from presentations given by invited speakers at International Workshop on Image Processing and Inverse Problems, held in Beijing Computational Science Research Center, Beijing, China, April 21?24, 2018. The book was dedicated to Professor Raymond Chan on the occasion of his 60th birthday. The contents of the book cover topics including image reconstruction, image segmentation, image registration, inverse problems and so on. Deep learning, PDE, statistical theory based research methods and techniques were discussed. The state-of-the-art developments on mathematical analysis, advanced modeling, efficient algorithm and applications were presented. The collected papers in this book also give new research trends in deep learning and optimization for imaging science. It should be a good reference for researchers working on related problems, as well as for researchers working on computer vision and visualization, inverse problems, image processing and medical imaging. 410 0$aSpringer Proceedings in Mathematics & Statistics,$x2194-1017 ;$v360 606 $aMathematics 606 $aComputer vision 606 $aDifferential equations 606 $aApplications of Mathematics 606 $aComputer Vision 606 $aDifferential Equations 615 0$aMathematics. 615 0$aComputer vision. 615 0$aDifferential equations. 615 14$aApplications of Mathematics. 615 24$aComputer Vision. 615 24$aDifferential Equations. 676 $a621.367 702 $aTai$b Xue-Cheng 702 $aWei$b Suhua 702 $aLiu$b Haiguang 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910503008703321 996 $aMathematical methods in image processing and inverse problems$92884095 997 $aUNINA