Conditional Image Diffusion
暂无分享,去创建一个
Jose Luis Lisani | Antoni Buades | Catalina Sbert | Bartomeu Coll | A. Buades | B. Coll | C. Sbert | J. Lisani
[1] Joachim Weickert,et al. A Scale-Space Approach to Nonlocal Optical Flow Calculations , 1999, Scale-Space.
[2] Jack Xin,et al. Diffusion-Generated Motion by Mean Curvature for Filaments , 2001, J. Nonlinear Sci..
[3] H. Ishii,et al. Comparison principle and convexity preserving properties for singular degenerate parabolic equations on unbounded domains , 1991 .
[4] Brian Cabral,et al. Imaging vector fields using line integral convolution , 1993, SIGGRAPH.
[5] René A. Carmona,et al. Adaptive smoothing respecting feature directions , 1998, IEEE Trans. Image Process..
[6] D Marr,et al. Theory of edge detection , 1979, Proceedings of the Royal Society of London. Series B. Biological Sciences.
[7] Rachid Deriche,et al. Vector-valued image regularization with PDEs: a common framework for different applications , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[8] Jean-Michel Morel,et al. Geometry and Color in Natural Images , 2002, Journal of Mathematical Imaging and Vision.
[9] G. Cottet,et al. Image processing through reaction combined with nonlinear diffusion , 1993 .
[10] Guillermo Sapiro,et al. Fast image and video colorization using chrominance blending , 2006, IEEE Transactions on Image Processing.
[11] Adam M. Oberman,et al. Convergent Difference Schemes for Degenerate Elliptic and Parabolic Equations: Hamilton-Jacobi Equations and Free Boundary Problems , 2006, SIAM J. Numer. Anal..
[12] Jitendra Malik,et al. Scale-Space and Edge Detection Using Anisotropic Diffusion , 1990, IEEE Trans. Pattern Anal. Mach. Intell..
[13] Joachim Weickert,et al. A Theoretical Framework for Convex Regularizers in PDE-Based Computation of Image Motion , 2001, International Journal of Computer Vision.
[14] Patrick Pérez,et al. Object removal by exemplar-based inpainting , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..
[15] Federico Lecumberry,et al. Constrained Anisotropic Diffusion and some Applications , 2006, BMVC.
[16] Jean-Michel Morel,et al. Neighborhood filters and PDE’s , 2006, Numerische Mathematik.
[17] G. Barles,et al. Convergence of approximation schemes for fully nonlinear second order equations , 1990, 29th IEEE Conference on Decision and Control.
[18] D. Ringach,et al. Anisotropic diffusion of multivalued images , 1996 .
[19] Joachim Weickert,et al. Theoretical Foundations of Anisotropic Diffusion in Image Processing , 1994, Theoretical Foundations of Computer Vision.
[20] Hans-Hellmut Nagel,et al. An Investigation of Smoothness Constraints for the Estimation of Displacement Vector Fields from Image Sequences , 1983, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[21] Laura Igual,et al. A Variational Model for P+XS Image Fusion , 2006, International Journal of Computer Vision.
[22] D. Gabor. INFORMATION THEORY IN ELECTRON MICROSCOPY. , 1965, Laboratory investigation; a journal of technical methods and pathology.
[23] Adam M. Oberman. A convergent difference scheme for the infinity Laplacian: construction of absolutely minimizing Lipschitz extensions , 2004, Math. Comput..
[24] Leonid P. Yaroslavsky,et al. Digital Picture Processing , 1985 .
[25] Guillermo Sapiro,et al. A Variational Model for Filling-In Gray Level and Color Images , 2001, ICCV.
[26] Jong-Sen Lee,et al. Digital image smoothing and the sigma filter , 1983, Comput. Vis. Graph. Image Process..
[27] P. Lions,et al. User’s guide to viscosity solutions of second order partial differential equations , 1992, math/9207212.
[28] G. Sapiro,et al. A variational model for filling-in gray level and color images , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.