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Peyman Milanfar: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Sina Farsiu, M. Dirk Robinson, Michael Elad, Peyman Milanfar
    Fast and robust super-resolution. [Citation Graph (0, 0)][DBLP]
    ICIP (2), 2003, pp:291-294 [Conf]
  2. Peyman Milanfar
    Motion from Projections: A Foward Model. [Citation Graph (0, 0)][DBLP]
    ICIP (2), 1998, pp:695-699 [Conf]
  3. Peyman Milanfar, William Clement Karl, Alan S. Willsky
    Moment-Based Geometric Image Reconstruction. [Citation Graph (0, 0)][DBLP]
    ICIP (2), 1994, pp:825-829 [Conf]
  4. Peyman Milanfar, Ali Shakouri
    A statistical analysis of diffraction-limited imaging. [Citation Graph (0, 0)][DBLP]
    ICIP (1), 2002, pp:864-867 [Conf]
  5. Peyman Milanfar, Robert R. Tenney, Robert B. Washburn, Alan S. Willsky
    Modeling and Estimation for a Class of Multiresolution Random Fields. [Citation Graph (0, 0)][DBLP]
    ICIP (3), 1994, pp:397-401 [Conf]
  6. Nhat Nguyen, Peyman Milanfar
    An Efficient Wavelet-Based Algorithm for Image Superresolution. [Citation Graph (0, 0)][DBLP]
    ICIP, 2000, pp:- [Conf]
  7. M. Dirk Robinson, Peyman Milanfar
    Fundamental performance limits in image registration. [Citation Graph (0, 0)][DBLP]
    ICIP (2), 2003, pp:323-326 [Conf]
  8. Yaakov Tsaig, Michael Elad, Gene H. Golub, Peyman Milanfar
    Optimal framework for low bit-rate block coders. [Citation Graph (0, 0)][DBLP]
    ICIP (2), 2003, pp:219-222 [Conf]
  9. Peyman Milanfar, William Clement Karl, Alan S. Willsky
    Reconstructing Binary Polygonal Objects from Projections: A Statistical View. [Citation Graph (0, 0)][DBLP]
    CVGIP: Graphical Model and Image Processing, 1994, v:56, n:5, pp:371-391 [Journal]
  10. R. J. Gardner, Peyman Milanfar
    Reconstruction of Convex Bodies from Brightness Functions. [Citation Graph (0, 0)][DBLP]
    Discrete & Computational Geometry, 2003, v:29, n:2, pp:279-303 [Journal]
  11. Peyman Milanfar
    On the hough transform of a polygon. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 1996, v:17, n:2, pp:209-210 [Journal]
  12. Yaakov Tsaig, Michael Elad, Peyman Milanfar, Gene H. Golub
    Variable projection for near-optimal filtering in low bit-rate block coders. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Circuits Syst. Video Techn., 2005, v:15, n:1, pp:154-160 [Journal]
  13. Sina Farsiu, Michael Elad, Peyman Milanfar
    Multiframe demosaicing and super-resolution of color images. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 2006, v:15, n:1, pp:141-159 [Journal]
  14. Sina Farsiu, M. Dirk Robinson, Michael Elad, Peyman Milanfar
    Fast and robust multiframe super resolution. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 2004, v:13, n:10, pp:1327-1344 [Journal]
  15. Peyman Milanfar
    Two-dimensional matched filtering for motion estimation. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 1999, v:8, n:3, pp:438-444 [Journal]
  16. Peyman Milanfar
    A model of the effect of image motion in the Radon transform domain. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 1999, v:8, n:9, pp:1276-1281 [Journal]
  17. Peyman Milanfar, William Clement Karl, Alan S. Willsky
    A moment-based variational approach to tomographic reconstruction. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 1996, v:5, n:3, pp:459-470 [Journal]
  18. Nhat Nguyen, Peyman Milanfar, Gene H. Golub
    A computationally efficient superresolution image reconstruction algorithm. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 2001, v:10, n:4, pp:573-583 [Journal]
  19. Nhat Nguyen, Peyman Milanfar, Gene H. Golub
    Efficient generalized cross-validation with applications to parametric image restoration and resolution enhancement. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 2001, v:10, n:9, pp:1299-1308 [Journal]
  20. M. Dirk Robinson, Peyman Milanfar
    Statistical performance analysis of super-resolution. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 2006, v:15, n:6, pp:1413-1428 [Journal]
  21. M. Dirk Robinson, Peyman Milanfar
    Fundamental performance limits in image registration. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 2004, v:13, n:9, pp:1185-1199 [Journal]
  22. Morteza Shahram, Peyman Milanfar
    Imaging below the diffraction limit: a statistical analysis. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 2004, v:13, n:5, pp:677-689 [Journal]
  23. Morteza Shahram, Peyman Milanfar
    Statistical and Information-Theoretic Analysis of Resolution in Imaging. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 2006, v:52, n:8, pp:3411-3437 [Journal]
  24. Annie A. M. Cuyt, Gene H. Golub, Peyman Milanfar, Brigitte Verdonk
    Multidimensional Integral Inversion, with Applications in Shape Reconstruction. [Citation Graph (0, 0)][DBLP]
    SIAM J. Scientific Computing, 2005, v:27, n:3, pp:1058-1070 [Journal]
  25. Hiroyuki Takeda, Sina Farsiu, Peyman Milanfar
    Robust Kernel Regression for Restoration and Reconstruction of Images from Sparse Noisy Data. [Citation Graph (0, 0)][DBLP]
    ICIP, 2006, pp:1257-1260 [Conf]
  26. Hiroyuki Takeda, Sina Farsiu, Peyman Milanfar
    Kernel Regression for Image Processing and Reconstruction. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 2007, v:16, n:2, pp:349-366 [Journal]
  27. Amyn Poonawala, Peyman Milanfar
    Mask Design for Optical Microlithography-An Inverse Imaging Problem. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 2007, v:16, n:3, pp:774-788 [Journal]
  28. Morteza Shahram, Peyman Milanfar
    Local detectors for high-resolution spectral analysis: Algorithms and performance. [Citation Graph (0, 0)][DBLP]
    Digital Signal Processing, 2005, v:15, n:3, pp:305-316 [Journal]

  29. Multi-Scale Statistical Detection and Ballistic Imaging Through Turbid Media. [Citation Graph (, )][DBLP]


  30. Using local regression kernels for statistical object detection. [Citation Graph (, )][DBLP]


  31. Spatio-temporal video interpolation and denoising using motion-assisted steering kernel (MASK) regression. [Citation Graph (, )][DBLP]


  32. A Non-Parametric Approach to Automatic Change Detection in MRI Images of the Brain. [Citation Graph (, )][DBLP]


  33. An Adaptive Nonparametric Approach to Restoration and Interpolation for Medical Imaging. [Citation Graph (, )][DBLP]


  34. Video denoising using higher order optimal space-time adaptation. [Citation Graph (, )][DBLP]


  35. Image denoising using locally learned dictionaries. [Citation Graph (, )][DBLP]


  36. A generalization of non-local means via kernel regression. [Citation Graph (, )][DBLP]


  37. Optimal Registration Of Aliased Images Using Variable Projection With Applications To Super-Resolution. [Citation Graph (, )][DBLP]


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