Peyman Milanfar

Publications

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Journal Papers

  1. H. Takeda, and P. Milanfar, M. Protter, M. Elad, “Superresolution Without Explicit Subpixel Motion Estimation ”, Submitted to IEEE Trans. Image Processing, May 2008
  2. M. Protter, M. Elad, H. Takeda, and P. Milanfar, “Generalizing the Non-Local-Means to Super-resolution Reconstruction ”, Accepted for publication in IEEE Trans. Image Processing, April 2008
  3. H. Takeda, S. Farsiu, P. Milanfar, “Deblurring Using Regularized Locally-Adaptive Kernel Regression”, IEEE Transactions on Image Processing, vol. 17, no. 4, pp. 550-563, Apr. 2008
    See also: Regularized Kernel Regression-based Deblurring Toolbox for MATLAB
  4. A. Poonawala, Y. Borodovsky, P. Milanfar “Double Exposure Inverse Lithography”, Microlithography World, 16 (4): 7-9 Nov. 2007.
  5. S. Farsiu, D. Robinson, M. Elad, and P. Milanfar, “Simultaneous Demosaicing and Resolution Enhancement From Under-Sampled Image Sequences”, (Book Chapter) in “Single-Sensor Imaging: Methods and Applications for Digital Cameras,” CRC Press 2008, Rastislav Lukac (Editor)
  6. L. Duponchel, P. Milanfar, C. Ruckebusch, and J.P Huvenne, “Super-resolution and Raman Chemical Imaging: From Multiple Low Resolution Images to a High Resolution Image”, Analytica Chimica Acta, 607 (2008) pp. 168–175
  7. S. Farsiu, J. Christofferson, B. Eriksson, P. Milanfar, B. Friedlander, A. Shakouri, R. Nowak, “Statistical Detection and Imaging of Objects Hidden in Turbid Media Using Ballistic Photons”, Applied Optics, vol. 46, no. 23, pp. 5805-5822, August 2007
  8. M. Charest, P. Milanfar, “On Iterative Regularization and Its Application”, IEEE Trans. on Circuits and Systems for Video Technology, vol. 18, no. 3, pp. 406-411, March 2008
  9. X. Wang, S. Farsiu, P. Milanfar, and A. Shakouri, “Power Trace: An Efficient Method for Extracting the Power Dissipation Profile in an IC Chip from Its Temperature Map”, submitted to IEEE Trans. on Components and Packaging Technologies, June 2007
  10. A. Poonawala, P. Milanfar, “A Pixel-Based Regularization Approach to Inverse Lithography”, Microelectronic Engineering, 84 (2007) pp. 2837–2852
  11. A. Poonawala, P. Milanfar, “Double Exposure Mask Synthesis using Inverse Lithography"”, J. Micro/Nanolith. MEMS MOEMS 6(4), 043001, Oct–Dec 2007
  12. D. Robinson, S. Farsiu, P. Milanfar, “Optimal Registration of Aliased Images Using Variable Projection with Applications to Superresolution”, Invited paper, The Computer Journal, April 2007; doi: 10.1093/comjnl/bxm007
  13. M. Elad, P. Milanfar, R. Rubinstein, “Analysis versus Synthesis in Signal Priors”, Inverse Problems 23 (2007) pp. 947-968.
  14. A. Poonawala, P. Milanfar, “Mask Design For Optical Microlithography—An Inverse Imaging Problem”, IEEE Trans. on Image Processing, vol. 16, no. 3, pp. 774-788, March 2007.
  15. H. Takeda, S. Farsiu, and P. Milanfar, “Kernel Regression for Image Processing and Reconstruction”, IEEE Trans. on Image Processing, vol. 16, no. 2, pp. 349-366, February 2007.
    See also: Kernel Regression-Based Image Processing ToolBox for MATLAB and Kernel Regression for Image Processing and Reconstruction—example results
  16. S. Farsiu, M. Elad, and P. Milanfar, “Video-to-Video Dynamic Superresolution for Grayscale and Color Sequences”, EURASIP Journal of Applied Signal Processing, Special Issue on Superresolution Imaging, Volume 2006, Article ID 61859, Pages 1-15.
    See also: Superresolution Software
  17. M. Shahram, and P. Milanfar, “Statistical and Information-Theoretic Analysis of Resolution in Imaging”, IEEE Transactions on Information Theory, vol. 52, no. 8, pp. 3411-3427, August 2006.
  18. D. Robinson, and P. Milanfar, “Statistical Performance Analysis of Super-resolution”, IEEE Transactions on Image Processing, Vol. 15, no. 6, pp. 1413-1428, June 2006.
  19. R.J. Gardner, M. Kiderlen, and P. Milanfar, “Convergence of algorithms for reconstructing convex bodies and directional measures”, The Annals of Statistics, vol. 34, no. 3, pp. 1331-1374, June 2006.
  20. A. Poonawala, P. Milanfar, R. Gardner, “Shape Estimation from Support and Diameter Functions”, Journal of Mathematical Imaging and Vision 24: pp. 229-244, March 2006.
  21. S. Farsiu, M. Elad, and P. Milanfar, “Multi-Frame Demosaicing and Super-Resolution of Color Images”, IEEE Trans. on Image Processing, vol. 15, no. 1, pp. 141-159, January 2006.
    See also: color version of the paper and Superresolution Software
  22. M. Shahram, and P. Milanfar, “Local Detectors for High-Resolution Spectral Analysis: Algorithms and Performance”, Digital Signal Processing, vol. 15, pp. 305-316, 2005.
  23. D. Robinson, and P. Milanfar, “Bias Minimizing Filter Design for Gradient-Based Image Registration”, Invited Paper, Signal Processing: Image Communication, Volume 20, Issue 6 (Special Issue on Advanced Aspects of Motion Estimation), pp. 554-568, July 2005.
  24. M. Shahram, and P. Milanfar, “On the Resolvability of Sinusoids with Nearby Frequencies in the Presence of Noise”, IEEE Transactions on Signal Processing, vol. 53, no. 7, pp. 2579-2588, July 2005.
  25. A. Cuyt, G.H. Golub, P. Milanfar, B. Verdonk, “Multidimensional Integral Inversion, with Applications in Shape Reconstruction”, SIAM Journal on Scientific Computing, vol. 27, no. 3, pp.1058-1070, 2005.
  26. J. Tsaig, M. Elad, P. Milanfar, and G. Golub, “Variable projection for near-optimal filtering in low bit-rate block coders”, IEEE Transactions on Circuits and Systems for Video Technology, vol. 15, no. 1, pp. 154-160, January 2005.
  27. S. Farsiu, D. Robinson, M. Elad, and P. Milanfar, “Advances and Challenges in Super-Resolution”, Invited Paper, International Journal of Imaging Systems and Technology, Special Issue on High Resolution Image Reconstruction, vol. 14, no. 2, pp. 47-57, 2004.
    See also: Superresolution Software
  28. S. Farsiu, D. Robinson, M. Elad, and P. Milanfar, “Fast and Robust Multi-frame Super-resolution”, IEEE Transactions on Image Processing, vol. 13, no. 10, pp. 1327-1344, October 2004.
    See also: Superresolution Software
  29. G. Boutry, M. Elad, G. Golub, and P. Milanfar, “The Generalized Eigenvalue Problem for Non-Square Pencils Using A Minimal Perturbation Approach”, SIAM Journal On Matrix Analysis and Applications, vol. 27, no. 2, pp. 582-601, 2005.
  30. R. Cosgrove, P. Milanfar, and J. Kositsky, “Trained Detection of Buried Mines in SAR Images via the Deflection Optimal Criterion”, IEEE Transactions on Geoscience and Remote Sensing, vol. 42, no. 11, pp. 2569-2575, November 2004.
  31. D. Robinson, and P. Milanfar, “Fundamental Performance Limits in Image Registration”, IEEE Transactions on Image Processing, vol. 13, no. 9, pp. 1185-1199, September 2004.
  32. M. Elad, P. Milanfar, G.H. Golub, “Shape From Moments—An Estimation Theory Perspective”, IEEE Transactions on Signal Processing, vol. 52, no. 7, pp. 1814-1829, July 2004.
  33. M. Shahram, and P. Milanfar, “Imaging Below the Diffraction Limit: A Statistical Analysis”, IEEE Transactions on Image Processing, vol. 13, no. 5, pp. 677-689, May 2004.
  34. D. Robinson, and P. Milanfar, “Fast Local and Global Projection–based Methods for Affine Motion Estimation”, Invited paper, Journal of Mathematical Imaging and Vision, 18: 35-54, January 2003.
  35. R.J. Gardner, and P. Milanfar, “Reconstruction of Convex Bodies from Brightness Functions”, Discrete and Computational Geometry, 29:279-303, 2003.
  36. N. Nguyen, P. Milanfar, G.H. Golub, “Efficient Generalized Cross-Validation with Applications to Parametric Image Restoration and Resolution Enhancement”, IEEE Transactions on Image Processing, vol. 10, no. 9, pp. 1299-1308, September 2001.
  37. N. Nguyen, P. Milanfar, G.H. Golub, “A Computationally Efficient Image Superresolution Algorithm”, IEEE Transactions on Image Processing, vol. 10, no. 4, pp. 573-583, April 2001.
  38. N. Nguyen, and P. Milanfar, “A Wavelet-Based Interpolation-Restoration Method for Superresolution”, Invited Paper, Circuits, Systems, and Signal Processing, Special issue on advanced signal and image reconstruction, vol. 19, no. 4, pp. 321-338, August 2000.
  39. B. Gustafsson, C. He, P. Milanfar, M. Putinar, “Reconstructing Planar Domains From Their Moments”, Inverse Problems, vol. 16, no. 4, pp. 1053-1070, August 2000.
  40. G. Golub, P. Milanfar, J. Varah, “A Stable Numerical Method for Inverting Shape from Moments”, SIAM Journal on Scientific Computing, vol. 21, no. 4, pp. 1222-1243, December 1999.
  41. P. Milanfar, “A Model of the Effect of Image Motion in the Radon Transform Domain”, IEEE Transactions on Image Processing, vol. 8, no. 9, pp. 1276-1281, September 1999.
    See also the longer version Technical Report
  42. P. Milanfar, “Two Dimensional Matched Filtering for Motion Estimation”, IEEE Transactions on Image Processing, vol. 8, no. 3, pp. 438-443, March 1999.
  43. P. Milanfar, “A Persian Folk Method of Figuring Interest”, Mathematics Magazine, vol. 69, no. 5, December 1996.
  44. P. Milanfar, “Projection-based, Frequency-Domain Estimation of Superimposed Translational Motions”, Journal of the Optical Society of America: A, Optics and Image Science, vol. 13, no. 11, pp. 2151-2162, November 1996.
  45. P. Milanfar, and J.H. Lang, “Monitoring the Thermal Condition of Permanent-Magnet Synchronous Motors”, IEEE Transactions on Aerospace and Electronic Systems, vol. 32, no. 4, pp. 1421-1429, October 1996.
  46. P. Milanfar, “On the Hough Transform of a Polygon”, Pattern Recognition Letters, vol. 17, pp. 209-210, February 1996.
  47. P. Milanfar, W.C. Karl, A.S. Willsky, “A Moment-based Variational Approach to Tomographic Reconstruction”, IEEE Transactions on Image Processing, vol. 5, no. 3, pp. 459-470, March 1996.
  48. P. Milanfar, G.C. Verghese, W.C. Karl, A.S. Willsky, “Reconstructing Polygons from Moments with Connections to Array Processing”, IEEE Transactions on Signal Processing, vol. 43, no. 2, pp. 432-443, February 1995.
  49. P. Milanfar, W.C. Karl, A.S. Willsky, “Reconstructing Binary Polygonal Objects from Projections: A Statistical View”, CVGIP: Graphical Models and Image Processing, vol. 56, no.5, pp. 371-391, September 1994.

Conference Publications and Presentations

  1. H. Seo, and P. Milanfar, “Using Local Regression Kernels for Statistical Object Detection ”, Proceedings of IEEE International Conference on Image Processing (ICIP), San Diego, CA, October 2008.
  2. H. Takeda, P. van Beek, and P. Milanfar, “Spatio-Temporal Video Interpolation and Denoising Using Motion-Assisted Steering Kernel (MASK) Regression”, Proceedings of IEEE International Conference on Image Processing (ICIP), San Diego, CA, October 2008.
  3. H. Seo, and P. Milanfar, “Video Denoising Using Higher Order Optimal Space-Time Adaptation ”, Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 1249-1252, Las Vegas, NV, March 2008.
  4. P. Chatterjee, and P. Milanfar, “A Generalization of Non-Local Means via Kernel Regression ”, Proc. of the SPIE Conf. on Computational Imaging, San Jose, January 2008.
  5. H. Takeda, H. Seo, P. Milanfar, “Statistical Approaches to Quality Assessment for Image Restoration”, Invited paper in Proceedings of the International Conference on Consumer Electronics, Las Vegas, NV, January 2008.
  6. H. Seo, P. Chatterjee, H. Takeda, P. Milanfar, “A Comparison of Some State of the Art Image Denoising Methods”, Proceedings of the 41st Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, November 2007.
  7. D. Robinson, S. Farsiu, J. Lo, P. Milanfar, C.A. Toth, “Efficient Registration of Aliased X-Ray Images”, Proceedings of the 41st Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, November 2007.
  8. S. Farsiu, and P. Milanfar, “Multi-Scale Statistical Detection and Ballistic Imaging Through Turbid Media”, To appear in Proc. of the IEEE International Conference on Image Processing (ICIP), San Antonio, TX, September 2007.
  9. X. Wang, A. Shakouri, S. Farsiu and P. Milanfar, “Extraction of Power Dissipation Profile in an IC Chip From Temperature Map”, Proc. of 23rd Semiconductor Thermal Measurement, Modeling, and Management (SemiTherm) Symposium, San Jose, CA, March 2007.
  10. A. Poonawala, Y. Borodovsky, and P. Milanfar, “ILT for Double Exposure Lithography with Conventional and Novel Materials”, Proceedings of the SPIE Advanced Lithography Symposium, February 2007.
  11. H. Takeda, S. Farsiu, and P. Milanfar, “Higher Order Bilateral Filters and Their Properties”, Proc. of the SPIE Conf. on Computational Imaging, San Jose, January 2007.
  12. H. Takeda, S. Farsiu, and P. Milanfar, “Regularized Kernel Regression for Image Deblurring”, Proceedings of the 40th Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, November 2006.
  13. H. Takeda, S. Farsiu, P. Milanfar, “Robust Kernel Regression for Restoration and Reconstruction of Images from Sparse, Noisy Data”, to appear in Proc. of the International Conference on Image Processing, Atlanta, GA, October 2006.
    See also: Kernel Regression-Based Image Processing ToolBox for MATLAB
  14. H. Takeda, S. Farsiu, J. Christou, P. Milanfar, “Super-Drizzle: Applications of Adaptive Kernel Regression in Astronomical Imaging”, Advanced Maui Optical and Space Surveillance (AMOS) Technologies Conference, September 2006.
  15. M. Elad, P. Milanfar, R. Rubinstein, “Analysis versus synthesis in signal priors”, EUSIPCO, Florence, Italy, September 4-8, 2006.
  16. M. Charest, M. Elad, P. Milanfar, “A General Iterative Regularization Framework For Image Denoising”, Proc. of the 40th Conference on Information Sciences and Systems, Princeton, NJ, March 2006.
  17. A. Poonawala, and P. Milanfar, “OPC and PSM design using inverse lithography: A non-linear optimization approach”, Proc. of the SPIE Conference on Optical Microlithography XIX, San Jose, February 2006.
  18. D. Odom, and P. Milanfar, “Modeling Multiscale Differential Pixel Statistics”, Proc. of the SPIE Conf. on Computational Imaging, San Jose, January 2006.
  19. S. Farsiu, M. Elad, and P. Milanfar, “A Practical Approach to Super-Resolution”, Invited paper, Proc. of the SPIE Conf. on Visual Communications and Image Processing, San Jose, January 2006.
  20. H. Takeda, S. Farsiu, and P. Milanfar, “Image Denoising by Adaptive Kernel Regression”, Proceedings of the 39th Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, November 2005.
    See also: Kernel Regression-Based Image Processing ToolBox for MATLAB and Kernel Regression for Image Processing and Reconstruction—example results
  21. S. Farsiu, M. Elad, P. Milanfar, “Constrained, Globally Optimal, Multi-frame Motion Estimation”, Proc. of the 2005 IEEE Workshop on Statistical Signal Processing, Bordeaux, France, July 2005.
  22. P. Milanfar, “Resolution and Its Enhancement in Imaging” (Extended abstract), Invited Talk, Optical Society of America Topical Meeting on Signal Recovery and Synthesis, Charlotte, North Carolina, June 2005.
  23. A. Poonawala, and P. Milanfar, “Prewarping Techniques in Imaging: Applications to Nanotechnology and Biotechnology”, Proceedings of SPIE Vol. 5674, SPIE Electronic Imaging, Conference on Computational Imaging III, San Jose, CA, January 2005.
  24. L. Zimet, M. Shahram, P. Milanfar, “An Adaptive Framework for Image and Video Sensing”, Proceedings of SPIE Vol. 5678, SPIE Electronic Imaging, Conference on Digital Photography, San Jose, CA, January 2005.
  25. M. Shahram, and P. Milanfar, “Improved Spectral Analysis of Nearby Tones Using Local Detectors” (Won best student paper award), Proceedings of the 2005 International Conference on Acoustic, Speech, and Signal Processing, Philadelphia, Pennsylvania, March 2005.
  26. A. Cuyt, G. Golub, P. Milanfar, B. Verdonk, “Inverting a Multidimensional Shape From Moments”, Proceedings of the International Conference on Numerical Analysis and Applied Mathematics / Simos T.E. [edit.], Weinheim, Wiley, p. 436-439, 2004.
  27. D. Robinson, and P. Milanfar, “Statistical Performance Analysis of Superresolution Image Reconstruction”, Proceedings of the 38th Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, November 2004.
  28. S. Farsiu, D. Robinson, M. Elad, and P Milanfar, “Dynamic Demosaicing and Color Super-Resolution of Video Sequences”, Proceedings of SPIE Conference on Image Reconstruction from Incomplete Data III - Volume 5562, October 2004.
  29. S. Farsiu, M. Elad, P. Milanfar, “Multi-Frame Demosaicing and Super-Resolution from Under-Sampled Color Images”, Proceedings of the SPIE Conference on Computational Imaging, Jan. 18-22, 2004, San Jose, CA.
    See also: Superresolution Software
  30. Segall, A., M. Elad, P. Milanfar, R. Webb and C. Fogg, “Improved High-Definition Video by Encoding at an Intermediate Resolution”, Proceedings of the SPIE Conference on Visual Communications and Image Processing, Jan. 18-22, 2004, San Jose, CA.
  31. D. Robinson, P. Milanfar, “Bias Minimizing Filters for Gradient-Based Motion Estimation”, Proceedings of the 37th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA. November 2003. (Won 2nd place in the student paper competition).
  32. A. Poonawala, P. Milanfar, R. Gardner, “On the Uncertainty Analysis of Shape Reconstruction from Areas of Silhouettes”, to appear in Proceedings of Fifth International Conference on Advances In Pattern Recognition, Calcutta, India, December 2003.
  33. M. Shahram, and P. Milanfar, “A Statistical Analysis of Achievable Resolution in Incoherent Imaging”, Proceedings of the SPIE Annual Meeting, San Diego, CA, August 2003.
  34. S. Farsiu, D. Robinson, M. Elad, P. Milanfar, “Robust Shift-and-Add Approach to Super-resolution”, Proceedings of the SPIE Annual Meeting, San Diego, CA, August 2003.
    See also: Superresolution Software
  35. D. Robinson, and P. Milanfar, “Fundamental Performance Limits in Image Registration”, Proceedings of the 2003 IEEE International Conference on Image Processing, Barcelona.
  36. S. Farsiu, D. Robinson, M. Elad, P. Milanfar, “Fast Robust Superresolution”, Proceedings of the 2003 IEEE International Conference on Image Processing, Barcelona.
    See also: Superresolution Software
  37. J. Tsaig, M. Elad, G.H. Golub, P. Milanfar, “Optimal Framework for Low Bit-Rate Block Coders”, Proceedings of the 2003 IEEE International Conference on Image Processing, Barcelona.
  38. X. Feng, and P. Milanfar, “Multiscale Principal Components Analysis for Image Local Orientation Estimation”, Proceedings of the 36th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, November 2002.
    See also: Orientation Estimation Software
  39. A. Poonawala, P. Milanfar, R. Gardner, “A Statistical Analysis of Shape Reconstruction From Areas of Shadows”, Invited paper, Proceedings of the 36th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, November 2002.
  40. M. Elad, P. Milanfar, G.H. Golub, “Shape From Moments as an Inverse Problem”, Proceedings of the 36th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, November 2002.
  41. J. Kositsky, R. Cosgrove, C. Amazeen, P. Milanfar, “Results from a Forward-Looking GPR Mine Detection System”, Proceedings of SPIE Conference on Detection and Remediation Technologies for Mines and Minelike Targets VII, Vol. 4742.
  42. P. Milanfar, and A. Shakouri, “A Statistical Analysis of Diffraction-limited Imaging”, Proceedings of the International Conference on Image Processing, pp. 864-867, September 2002.
  43. M. Elad, P. Milanfar, G.H. Golub, “Shape From Moments—An Estimation Theory Perspective”, Invited Talk, The SIAM 50th Anniversary Meeting, July 2002, Philadelphia, PA.
  44. D. Robinson, and P. Milanfar, “Efficiency and Accuracy Tradeoffs in using Projections for Motion Estimation”, Proceedings of the 35th Asilomar Conference on Signals, Systems, and Computers, November 2001. (Won 3rd place in the best student paper competition)
  45. P. Milanfar, and R. J. Gardner, “Shape Reconstruction from Brightness Functions”, Invited paper, Proceedings of SPIE Vol. 4474, SPIE Conference on Advanced Signal Processing Algorithms, Architectures, and Implementations X, August 2001, San Diego, CA.
  46. N. Nguyen, and P. Milanfar, “An Efficient Wavelet-Based Algorithm for Image Superresolution”, Proceedings of the IEEE International Conference on Image Processing, Vancouver, B.C., Canada, September 10-13, 2000.
  47. P. Milanfar, M. Putinar, J. Varah, B. Gustafsson, and G. Golub, “Shape Reconstruction From Moments: Theory, Algorithms, and Applications”, Invited paper, Proceedings of SPIE Vol. 4116, SPIE Conference on Advanced Signal Processing Algorithms, Architectures, and Implementations X, August 2000, San Diego, CA.
  48. N. Nguyen, P. Milanfar, and G. Golub, “Blind Superresolution with Generalized Cross-Validation using Gauss-type Quadrature Rules”, Thirty-third Asilomar Conference on Signals, Systems, and Computers, October 24-27, 1999.
  49. J. Kositsky, and P. Milanfar, “A Forward-Looking High-Resolution GPR System”, SPIE Vol. 3710, Proceedings of Aerosense '99, Part of SPIE Conference on Detection and Remediation Technologies for Mines and Minelike Targets IV, Orlando, Florida, April 1999.
  50. N. Nguyen, P. Milanfar, and G. Golub, “Preconditioners for Regularized Image Superresolution”, Proceedings of IEEE ICASSP, March 15-19, 1999, Phoenix, Arizona.
  51. P. Milanfar, “Motion From Projections: A Forward Model”, Proceedings of the International Conference on Image Processing, October 1998, Chicago, IL.
  52. N. Nguyen, P. Milanfar, and G. Golub, “Preconditioners for Super-resolution Reconstruction”, Fifth Copper Mountain Conference on Iterative Methods, March 30-April 3, 1998, Copper Mountain, Colorado.
  53. P. Milanfar, “Fast Geometric Algorithms for Tomographic Nondestructive Evaluation of Civil Structures”, Proceedings of the International Symposium on Nondestructive Testing in Civil Engineering, September 26-28, 1995, Berlin, Germany.
  54. P. Milanfar, R.R. Tenney, R.B. Washburn, A.S. Willsky, “Modeling and Estimation for a Class of Multiresolution Random Fields”, Proceedings of the IEEE International Conference on Image Processing, Austin, TX, November 1994.
  55. P. Milanfar, W.C. Karl, A.S. Willsky, and G.C. Verghese, “Moment-based Geometric Image Reconstruction”, Proceedings of the IEEE International Conference on Image Processing, Austin, TX, November 1994.
  56. T. Kurien, P. Milanfar, D. Logan, “Propagation Mode Estimation: A Requirement for OTH Data Fusion”, Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, Las Vegas, NV, October 1994.
  57. P. Milanfar, W.C. Karl, A.S. Willsky, G.C. Verghese, “Polygon Reconstruction from Moments Using Array Processing”, Proceedings of the Sixth IEEE Digital Signal Processing Workshop, Yosemite National Park, CA, October 1994.
  58. P. Milanfar, M. Bhatia, L.A. Belcastro, S. Jaggi, W.C. Karl, A.S. Willsky, “Geometric and Multiresolution Statistical Methods for Reconstruction from Projections”, Proceedings of the IEEE Eighth Workshop on Multidimensional Signal Processing, Cannes, France, September 1993.
  59. P. Milanfar, W.C. Karl, and A.S. Willsky, “Statistical Approaches to the Tomographic Reconstruction of Finitely Parameterized Geometric Objects”, Proceedings of the SPIE 1992 Intl. Symposium: Neural and Stochastic Methods in Image and Signal Processing, San Diego, CA, July 1992.
  60. P. Milanfar, and J.H. Lang, “Monitoring the Thermal Condition of Permanent-Magnet Synchronous Motors”, Proceedings of the IEEE Industrial Applications Society Annual Meeting, October 1991.

Dissertations

  1. Amyn Poonawala, Ph.D. Thesis, “Mask Design for Single and Double Exposure Optical Microlithography: An Inverse Imaging Approach”, Computer Engineering, UC Santa Cruz, September 2007.
  2. David Odom, M.S. Thesis, “Differential Pixel Statistic Based Priors for Image Restoration”, Electrical Engineering, UC Santa Cruz, June 2006.
  3. Michael Charest, M.S. Thesis, “A General Framework for Iterative Regularization in Image Processing”, Electrical Engineering, UC Santa Cruz, June 2006.
  4. Hiroyuki Takeda, M.S. Thesis, “Kernel Regression for Image Processing and Reconstruction”, Electrical Engineering, UC Santa Cruz, March 2006.
  5. Sina Farsiu, Ph.D. Thesis, “A Fast and Robust Framework for Image Fusion and Enhancement”, Electrical Engineeting, UC Santa Cruz, December 2005.
  6. Morteza Shahram, Ph.D. Thesis, “Statistical and Information-Theoretic Analysis of Resolution in Imaging and Array Processing”, Electrical Engineering, UC Santa Cruz, June 2005.
  7. Lior Zimet, M.S. Thesis, “An Adaptive Framework for Image and Video Sensing”, Electrical Engineering, UC Santa Cruz, March 2005.
  8. Dirk Robinson, Ph.D. Thesis, “Estimation Theoretic Analysis of Motion in Image Sequences”, Electrical Engineering, UC Santa Cruz, December 2004.
  9. Amyn Poonawala, M.S. Thesis, “Reconstructing Shapes from Support and Brightness Functions”, Computer Engineering, UC Santa Cruz, March 2004.
  10. XiaoGuang Feng, M.S. Thesis, “Analysis and Approaches to Image Local Orientation Estimation”, Computer Engineering, UC Santa Cruz, March 2002.
  11. Nhat Nguyen, Ph.D. Thesis, “Numerical Algorithms for Image Super-Resolution”, Scientific Computing and Computational Mathematics Program, Stanford University, July 2000.
  12. Peyman Milanfar, Ph.D. Thesis, “Geometric Estimation and Reconstruction From Tomographic Data”, Electrical Engineering and Computer Science, M.I.T., June 1993.