Research on Non-Local Regularization Model and Algorithms for Image Super-Resolution Reconstruction: Research on Non-Local Regularization Model and Algorithms for Image Super-Resolution Reconstruction

[1]  Tony F. Chan,et al.  The digital TV filter and nonlinear denoising , 2001, IEEE Trans. Image Process..

[2]  J. D. van Ouwerkerk,et al.  Image super-resolution survey , 2006, Image Vis. Comput..

[3]  Michael Elad,et al.  Generalizing the Nonlocal-Means to Super-Resolution Reconstruction , 2009, IEEE Transactions on Image Processing.

[4]  D. Dobson,et al.  Convergence of an Iterative Method for Total Variation Denoising , 1997 .

[5]  D. Mumford,et al.  Optimal approximations by piecewise smooth functions and associated variational problems , 1989 .

[6]  Donald Geman,et al.  Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[7]  Michael Elad,et al.  Fast and robust multiframe super resolution , 2004, IEEE Transactions on Image Processing.

[8]  Jitendra Malik,et al.  Scale-Space and Edge Detection Using Anisotropic Diffusion , 1990, IEEE Trans. Pattern Anal. Mach. Intell..

[9]  Nirmal K. Bose,et al.  Mathematical analysis of super-resolution methodology , 2003, IEEE Signal Process. Mag..

[10]  A. Ben Hamza,et al.  Unifying probabilistic and variational estimation , 2002, IEEE Signal Process. Mag..

[11]  Seongjai Kim,et al.  PDE-based image restoration: a hybrid model and color image denoising , 2006, IEEE Transactions on Image Processing.

[12]  Jean-Michel Morel,et al.  Neighborhood filters and PDE’s , 2006, Numerische Mathematik.

[13]  Guy Gilboa,et al.  Nonlocal Linear Image Regularization and Supervised Segmentation , 2007, Multiscale Model. Simul..

[14]  Ki-Sang Hong,et al.  Variational approaches to super-resolution with contrast enhancement and anisotropic diffusion , 2003, J. Electronic Imaging.

[15]  Ke Chen,et al.  Adaptive smoothing via contextual and local discontinuities , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[16]  L. Rudin,et al.  Nonlinear total variation based noise removal algorithms , 1992 .

[17]  Michael Elad,et al.  On the origin of the bilateral filter and ways to improve it , 2002, IEEE Trans. Image Process..

[18]  Danny Barash,et al.  A Fundamental Relationship between Bilateral Filtering, Adaptive Smoothing, and the Nonlinear Diffusion Equation , 2002, IEEE Trans. Pattern Anal. Mach. Intell..