Mathematical Methods in Image Processing and Inverse Problems

C. 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.