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Book Chapters, Journals,Conferences, Dissertation, Data Sets, Software, Patents

Book Chapters:

  1. Simultaneous Demosaicing and Resolution Enhancement From Under-Sampled Image Sequences, S. Farsiu, D. Robinson, M. Elad, and P. Milanfar, To appear in ``Single-Sensor Imaging: Methods and Applications for Digital Cameras,'' CRC Press, ISBN: 9781420054521, 2008, Rastislav Lukac (Editor)
  2. Application of Spectral Domain Optical Coherence Tomography in Age-Related Macular Degeneration Analysis, C. A. Toth, S. Farsiu, A. Khanifar, G. Chong,  To appear in "OCT IN ARMD", LAMY, Edit, Marseille , France for "Les Sociétés d'Ophtalmologie de France" 2008, Gabriel Coscas (Editor)

Journal Publications:

  1. "Advances and Emerging Applications of Spectral Domain Optical Coherence Tomography Imaging in Ophthalmology", S. Farsiu, J. A. Izatt, C. A. Toth, "Invited Paper", submitted to European Ophthalmic Review
  2. "Spectral-domain OCT in Practice", A. A. Khanifar,  S. Farsiu,  "Invited Paper", submitted to Retina Today
  3. "Abnormal Foveal Morphology in Ocular Albinism Imaged with Spectral Domain Optical
    Coherence Tomography", G.T. Chong, S. Farsiu, S.F. Freedman, N. Sarin, A.F. Korieshi, J. A. Izatt, C.A. Toth, Submitted to Archives of Ophthalmology 2008.
  4. "Imaging the Infant Retina with Handheld Spectral Domain OCT", A. W. Scott, S. Farsiu, L. B. Enyedi, D. K.Wallace, C. A. Toth, Accepted for publication in  American Journal of Ophthalmology, 2008.
  5. "Photoreceptor Layer Thinning over Drusen in Spectral Domain Optical Coherence Tomography Imaging of Age-related Macular Degeneration", S. G. Schuman, A. F. Koreishi, S. Farsiu, J. A. Izatt, C. A. Toth, Submitted to Ophthalmology Feb. 2008.
  6. "Power Trace: An Efficient Method for Extracting the Power Dissipation Profile in an IC Chip from Its Temperature Map", X. Wang, S. Farsiu, P Milanfar, A. Shakouri,  Submitted to IEEE Transactions on Components and Packaging Technologies,  June 2007.
  7. Deblurring Using Regularized Locally-Adaptive Kernel Regression, H. Takeda, S. Farsiu, and P. Milanfar,  IEEE Trans. on Image Processing, vol. 14, no. 4, pp550-563, April 2008.
  8. Statistical Detection and Imaging of Objects Hidden in Turbid Media Using Ballistic Photons, Farsiu, S., J. Christofferson, B. Eriksson, P. Milanfar, B. Friedlander, A. Shakouri, R. Nowak, Applied Optics, vol. 46, no. 23, pp. 5805-5822, Aug. 2007.BibTex
  9. Optimal Registration of Aliased Images Using Variable Projection with Applications to Superresolution, D. Robinson, S. Farsiu, P. Milanfar, Advance Online Access published in   The Computer Journal , doi:10.1093/comjnl/bxm007, April 2007.
  10. Kernel Regression for Image Processing and Reconstruction, H. Takeda, S. Farsiu, and P. Milanfar, IEEE Trans. on Image Processing, vol. 16, no. 2, pp. 349-366, Feb. 2007
  11. Multi-Frame Demosaicing and Super-Resolution of Color Images, S. Farsiu, M. Elad, and P. Milanfar, IEEE Trans. on Image Processing, vol. 15, no. 1, pp. 141-159, Jan. 2006. Color Version of Paper, BibTex
  12. Video-to-Video Dynamic Superresolution for Grayscale and Color Sequences, S. Farsiu, M. Elad, and P. Milanfar, EURASIP Journal of Applied Signal Processing, Jan. 2006.BibTex
  13. Fast and Robust Multi-Frame Super-Resolution, S. Farsiu, D. Robinson, M. Elad, and P. Milanfar, IEEE Transactions on Image Processing, October 2004, Volume 13, no 10, pp. 1327- 1344. BibTex
  14. Advances and Challenges in Super-Resolution, S. Farsiu, D. Robinson, M. Elad, and P. Milanfar, International Journal of Imaging Systems and Technology, August 2004, Volume 14, no 2, pp. 47-57. BibTex
  15. Prediction of Lupus Nephritis in Patients with Systemic Lupus Erythematosus Using Artificial Neural Networks, R. Rajimehr, S. Farsiu, L. Kouhsari, A. Bidari, C. Lucas, S.Yousefian, F. Bahrami, Lupus, August 2002, vol. 11, no. 8, pp. 485-492.

 

Conference Publications: 

  1. "A Quantitative Study of the Photoreceptor Changes Over Drusen in AMD Eyes Using Spectral Domain OCT",  S. Farsiu, S. G. Schuman, A. F. Koreishi, J. A. Izatt, C. A. Toth,  to be presented at ARVO/ISIE 6th Annual Meeting; Fort Lauderdale, Florida,  2008.
  2. "Efficient Restoration  and Enhancement of Super-resolved X-ray Images", D. Robinson, S. Farsiu, J.Y. Lo, C.A. Toth,  Submitted to  IEEE International Conference on Image Processing (ICIP), San Diego, CA, 2008.
  3. "Image Fusion Based Resolution Enhancement of Retinal Spectral Domain Optical Coherence Tomography Images", S. Farsiu, B.A. Bower, J.A. Izatt, C.A. Toth, to be presented at the Association for Research in Vision and Ophthalmology (ARVO) Annual Meeting, Fort Lauderdale, FL 2008.
  4. "Automatic Drusen Segmentation and Characterization in Spectral Domain Optical Coherence Tomography (SDOCT) Images of AMD Eyes", C.A. Toth, S. Farsiu,  S.J. Chiu, A.A. Khanifar, J.A. Izatt,  to be presented at the Association for Research in Vision and Ophthalmology (ARVO) Annual Meeting, Fort Lauderdale, FL 2008.
  5. "Spectral Domain Optical Coherence Tomography (SDOCT) Imaging in the Spectrum of Pediatric Ocular Albinism ", G. Chong, S. Farsiu, A. J. Korieshi, S. F. Freedman, C.A. Toth, to be presented at the Association for Research in Vision and Ophthalmology (ARVO) Annual Meeting, Fort Lauderdale, FL 2008.
  6. "Novel Techniques to Evaluate the Infant Retina With Portable, Handheld Spectral Domain Optical Coherence Tomography", A.W. Scott, S. Farsiu, C.A. Toth, to be presented at the Association for Research in Vision and Ophthalmology (ARVO) Annual Meeting, Fort Lauderdale, FL 2008.
  7. "Fast Detection and Segmentation of Drusen in Retinal Optical Coherence Tomography Images.", S. Farsiu, S. J. Chiu, J. A. Izatt, C. A. Toth, To appear in the Proc. of Photonics West, San Jose, CA, 2008.
  8. "Efficient Multiframe Registration of Aliased X-Ray Images", D. Robinson, S. Farsiu, J.Y. Lo, P. Milanfar, C.A. Toth, Proceedings of the 41th Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, Nov. 2007, News, BibTex
  9. "Multi-Scale Statistical Detection and Ballistic Imaging Through Turbid Media", S. Farsiu and P. Milanfar, IEEE International Conference on Image Processing (ICIP), San Antonio, TX, Page(s):III - 537-540, Sept. 2007.
  10. "Extraction of power dissipation profile in an IC chip from temperature map",  X. Wang, A. Shakouri, S. Farsiu and P. Milanfar, Proc. of 23rd Semiconductor Thermal Measurement, Modeling, and Management Symposium, San Jose, CA, Page(s):51-56, March 2007.
  11.  "Higher Order Bilateral Filters and Their Properties", Takeda, H., S. Farsiu, and P. Milanfar, Proceedings of the SPIE Conf. on Computational Imaging, San Jose, 64980S-1:9, January 2007.
  12. Regularized Kernel Regression for Image Deblurring, H. Takeda, S. Farsiu, and P. Milanfar, Invited paper, Proceedings of the 40th Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, Page(s):1914 - 1918, Nov. 2006
  13. Robust Kernel Regression for Restoration and Reconstruction of Images from Sparse, Noisy Data , H.Takeda, S. Farsiu, P. Milanfar, Proc. of the IEEE International Conference on Image Processing (ICIP), Atlanta, GA, Page(s): 1257-1260, October 2006 BibTex
  14. Super-Drizzle: Applications of Adaptive Kernel Regression in Astronomical Imaging",Takeda, H., S. Farsiu, J. Christou, P. Milanfar, " Advanced Maui Optical and Space Surveillance (AMOS) Technologies Conference, September 2006
  15. A Practical Approach to Super-Resolution, S. Farsiu, M. Elad, and P. Milanfar, Invited paper, Proc. of the SPIE: Visual Communications and Image Processing, San-Jose, Vol. 6077, Page(s): 24-38, January 2006.
  16. Image Denoising by Adaptive Kernel Regression, H. Takeda, S. Farsiu, and P. Milanfar, Proceedings of the 39th Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, Page(s):1660 - 1665, Nov. 2005.
  17. Constrained, Globally Optimal, Multi-Frame Motion Estimation, S. Farsiu, M. Elad, P. Milanfar, Proc. of IEEE Workshop on Statistical Signal Processing, July  2005, Page(s):1396 - 1401, Bordeaux, France.BibTex
  18. Dynamic Demosaicing and Color Super-Resolution of Video Sequences, S. Farsiu, D. Robinson, M. Elad, P. Milanfar, Proceedings of SPIE Conference on Image Reconstruction from Incomplete Data III, - Volume 5562, August 2004, Denver, CO, Page(s):169-178. BibTex
  19. Multi-Frame Demosaicing and Super-Resolution from Under-Sampled Color Images, S. Farsiu, M. Elad, P. Milanfar, IS&T/SPIE Symposium on Electronic Imaging 2004, January 2004 in San Jose, CA. Volume 5299, Page(s): 222-233. BibTex 
  20. Fast Robust Super-Resolution, S. Farsiu, D. Robinson, M. Elad, P. Milanfar, IEEE International Conference on Image Processing (ICIP) Barcelona,September 2003. Volume: 2, Page(s): 291 -294. BibTex
  21. Robust Shift and Add Approach to Super-Resolution, S. Farsiu, D. Robinson, M. Elad, P. Milanfar, International Symposium on Optical Science and Technology, SPIE's 48th Annual Meeting, August 2003, San Diego, CA, Volume 5203, Page(s):121-130. BibTex

 

PhD Dissertation:

A Fast and Robust Framework for Image Fusion and Enhancement , Sina Farsiu, University of California, Santa Cruz, December 2005


Data Sets for superresolution and demosaicing:

Through the years, according to the reproducible research principal, me and my colleagues have made available almost all data sets used in our publications. Most data sets that I have created for different super-resolution and demosaicing scenarios are available here. The condition for using any of these data-sets in your research is either referencing our corresponding publication or directly acknowledging the data-set creators. 

Software:
  1. MDSP Resolution Enhancement (Super Resolution) Software: According to the reproducible research principal, I created this (now commercialized) software package in collaboration with Drs. Dirk Robinson, Prof. Michael Elad, and Prof. Peyman Milanfar while at UCSC. The main function of this software tool is the implementation of several superresolution techniques in our published work, and the comparison of these to other work. The techniques implemented cover robust methods, dynamic color super-resolution methods, and simultaneous demosaicing and resolution enhancement. Please forward all your questions and enquiries directly to my former PhD advisor Prof. Milanfar, who is managing/distibuting the software.
  2. Duke Optical Coherence Tomography Retinal Analysis Program (DOCTRAP): According to the reproducible research principal, I’m developing this software in collaboration with Stephanie J. Chiu, Prof. Joseph Izatt, and Prof. Cynthia A. Toth. The main function of this software tool is automatic detection and segmentation of drusen in retinal images captured via SDOCT. The first version of this software will be soon released.

Patents and Invention Disclosures:

  1. US Patent  7,379,612, P. Milanfar, S. Farsiu, M. Elad, entitled Dynamic Reconstruction of  High-Resolution Video from Color-Filtered Low-Resolution Video-to-Video Super-Resolution
  2. US Patent Application, 20060291751, P. Milanfar, S. Farsiu, D. Robinson, M. Elad , entitled Robust Reconstruction of High Resolution Grayscale Images from a Sequence of Low-Resolution Frames (Robust Gray Super-Resolution)
  3. US Patent Application, 20060290711-20060279585, P. Milanfar, S. Farsiu, M. Elad, entitled System and Method for Robust Multi-Frame Demosaicing and Color Super-Resolution
  4. US Patent Application, 2007027893, P. Milanfar, H. Takeda, S. Farsiu, entitled Kernel Regression For Image Processing And Reconstruction
  5. Duke Optical Coherence Tomography Retinal Analysis Program (DOCTRAP), US Provisional Patent Application, Jan. 2008.
  6.  P. Milanfar, H. Takeda, S. Farsiu, entitled  Deblurring using Regularized Locally-Adaptive Kernel Regression,University of California Office of Technology Transfer, DISCLOSURE AND RECORD OF INVENTION Jan 2008

 

 

Disclaimer:

The material listed here are copyrighted. Personal use of this material is permitted. However, permission to reprint/publish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the copyright holder.

I've no comments with respect to the rumor that the students and professors, who have used my papers, software, or datasets in their research publications without proper acknowledgment, have mysteriously disappeared in the grad-school abyss (never have graduated or tenured, respectively)!


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