Last updated Jan 25, 2006
Group meetings and recent news
(Constantly updating)
   

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Welcome to the IMAGERS website, where you will find information about our image processing research group at UCLA. Our general research area is in mathematical modeling and computational techniques for image processing, especially using Partial Differential Equations. IMAGERS is part of the UCLA Mathematics Department and the Institute of Pure and Applied Mathematics, and collaborates with lots of other departments such as Computer Science Department and the School of Medicine. Our research has been supported by the Office of Naval Research and the National Science Foundation.

 

         

Tony F. Chan, Selim Esedoglu, and Frederick E. Park, A Fourth Order Dual Method for Staircase Reduction in Texture Extraction and Image Restoration Problems April 2005. [ pdf ]
T. Chan, J. Cong, and K. Sze, Multilevel Generalized Force-directed Method for Circuit Placement, Proceedings of the International Symposium on Physical Design, San Francisco, CA, April, 2005. (Best paper award) [ pdf ]
Jean-Francois Aujol, Guy Gilboa, Tony Chan, and Stanley Osher, Structure-Texture Image Decomposition - Modeling, Algorithms, and Parameter Selection, February 2005. [ pdf ]
David M. Strong, Jean-Francois Aujol and Tony Chan, Scale Recognition, Regularization Parameter Selection, and Meyer's G Norm in Total Variation Regularization, January 2005. [ pdf ]
T. Chan, S. Esedoglu, F. Park and A. Yip, Recent Developments in Total Variation Image Restoration, January 2005. [ pdf ]
Tony F. Chan, Selim Esedoglu and Mila Nikolova, Algorithms for Finding Global Minimizers of Image Segmentation and Denoising Models, September 2004. [ pdf ]

For other new papers please refer to UCLA CAM reports.

  If you have any questions and comments, please email to: imagers@math.ucla.edu