Readings

Some of these papers are UW-restricted.  If your machine is not on the UW domain you can get to electronic journals via a proxy server that validates your UW status.  The links are either to acrobat (.pdf), postscript (.ps), compressed postscript (.ps.gz, .ps.Z) or html files.

Table of contents:

• Solid-state imaging sensors
• Filter array demosaicking
• Super-resolution from multiple shifted images
• Example-based super-resolution
• Optical flow
• Panoramic mosaics

Solid-state imaging sensors

• Holst, G. CCD Arrays, Cameras, and Displays. SPIE Optical Engineering Press, Bellingham, Washington, 1998.
• Theuwissen, A. Solid-State Imaging with Charge-Coupled Devices. Kluwer Academic Publishers, Boston, 1995.
• Liu, X.  CMOS Image Sensors Dynamic Range and SNR Enhancement via Statistical Signal Processing, PhD Thesis, Stanford University, June 2002.
• El Gamal et al., EE392b lecture notes (Spring 01).
• Kodak Application Notes

Filter array demosaicking

• Ramanath, Snyder, Bilbro, and Sander.  Demosaicking Methods for Color Filter Arrays, Journal of Electronic Imaging, vol. 11, no. 3, pp. 306-315. (The PDF is not a printable document.)
• Shree K. Nayar, Srinivasa G. Narasimhan: Assorted Pixels: Multi-sampled Imaging with Structural Models. ECCV (4) 2002: 636-652

Super-resolution from multiple shifted images

• Irani, M. and Peleg.  Improving Resolution by Image Registration.  Graphical Models and Image Processing, 53(3), May 1991, 231-239.
• A. Zomet and S. Peleg, Super-Resolution from Multiple Images having Arbitrary Mutual Motion, in S. Chaudhuri (Editor), Super-Resolution Imaging, Kluwer Academic, September 2001, pp. 195-209. http://www.cs.huji.ac.il/~peleg/#peleg-pubs
• Elad, M. and Feuer, A., Restoration of a single superresolution image from several blurred, noisy, and undersampled measured images. IEEE Transactions on Image Processing, Volume: 6 Issue: 12 , Dec 1997 Page(s): 1646 -165.
• Elad, M. and Feuer, A., Super-resolution reconstruction of image sequences. IEEE Transactions on Pattern Analysis and Machine Intelligence, Volume: 21 Issue: 9 , Sep 1999 Page(s): 817 -834.
• Schultz, R.R. and Stevenson, R.L., Extraction of high-resolution frames from video sequences.  IEEE Transactions on Image Processing, Volume: 5 Issue: 6, Jun 1996 Page(s): 996 -1011.
• Capel, D. and Zisserman, A., Super-resolution enhancement of text image sequences. Proceedings 15th International Conference on Pattern Recognition, 2000, Volume: 1, 2000 Page(s): 600 -605 vol.1.
• M. Tipping and C. Bishop. Bayesian Image Super-resolution, NIPS 2002.
• E. Shechtman, Y. Caspi, and M. Irani.  Increasing Space-Time Resolution in Video. In ECCV 2002.

Example-based super-resolution

• W.T. Freeman and Pasztor, E.C., Learning low-level vision, The Proceedings of the Seventh IEEE International Conference on Computer Vision, 1999, Volume: 2 , 1999 Page(s): 1182 -1189.  (Journal version.)
• William T. Freeman, Thouis R. Jones, and Egon C. Pasztor, Example-based super-resolution, IEEE Computer Graphics and Applications, March/April, 2002.
• Baker, S. and Kanade, T., Hallucinating faces, Fourth International Conference on Automatic Face and Gesture Recognition, March, 2000. Page(s): 83-88.
• C. Bishop, A. Blake, and B. Marthi. Super-resolution enhancement of video, Ninth International Conference on Artificial Intelligence and Statistics, January 2003.  (project page with video)
• A. Hertzmann, C. Jacobs, N. Oliver, D. Salesin, and B. Curless.  Image analogies.  SIGGRAPH 2001, pp. 327-340.
• Ce Liu, Heung-Yeung Shum and Chang-Shui Zhang, A two-step approach to hallucinating faces: global parametric model and local nonparametric model. Computer Vision and Pattern Recognition, 2001 (CVPR 2001). Page(s): I -192-8 vol.1.

Optical flow

• R. Bergen, P. Anandan, K.J. Hanna, and R. Hingorani. Hierarchical model-based motion estimation. European Conf. on Computer Vision (ECCV), 1992, pp. 237-252.
• M. J. Black and P. Anandan. The robust estimation of multiple motions: Parametric and piecewise-smooth flow fields. Comp. Vis. Image Understanding, 63(1):75–104, 1996.
• H. S. Sawhney and S. Ayer. Compact representation of videos through dominant multiple motion estimation. IEEE Trans. Patt. Anal. Mach. Intel., 18(8):814–830, Aug. 1996.
• Y. Weiss. Smoothness in layers: Motion segmentation using nonparametric mixture estimation. In CVPR’97, pp. 520–526, June 1997.

Panoramic mosaics

• R. Szeliski and H.-Y. Shum. Creating full view panoramic image mosaics and texture-mapped models. Computer Graphics (SIGGRAPH'97), pages 251-258, August 1997.
• H.-Y. Shum and R. Szeliski. Construction of panoramic mosaics with global and local alignment. International Journal of Computer Vision, 36(2):101-130, February 2000.  (Tech Report under the title Panoramic Image Mosaics.)
• Zoghlami, I.; Faugeras, O.; Deriche, R.; Using geometric corners to build a 2D mosaic from a set of images. Computer Vision and Pattern Recognition, 1997. Proceedings., 1997 IEEE Computer Society Conference on , 17-19 Jun 1997  Page(s): 420 -425.