Image Systems

Publications

Image Systems Engineering

Back to Publications page
Back to Image Systems Research page

Review talks on vision

  1. Visual Pathways Overview
    Brian A. Wandell (2006).
    Slides from the International Solid State Circuits Conference (ISSCC Color Forum).
    San Francisco, CA.

Review articles

  1. Roadmap for CMOS image sensors: Moore meets Planck and Sommerfeld
    Peter B. Catrysse and Brian A. Wandell (2005).
    In Proceedings of the SPIE Electronic Imaging '2005 Conference, vol. 5678, p. 1-13, Digital Photography,
    Eds. Sampat, DiCarlo and Motta San Jose, CA.
  2. Digital Color Reproduction
    Wandell and Silverstein (2003) The Science of Color 2nd edition,
    Ed. S. Shevell, published by the Optical Society of America.
  3. Common Principles of Image Acquisition Systems and Biological Vision
    The figure resolution in the preprint is somewhat better.
    B. A. Wandell, A. El Gamal, and B. Girod, (2002),
    Proceedings of the IEEE, vol. 90, Issue 1, pp. 5-17.


Illuminant and Surface Estimation

  1. Spectral estimation theory: beyond linear but before Bayesian .
    DiCarlo JM, Wandell BA (2003).
    J. Opt Soc Am A Jul;20(7):1261-70.
  2. Illuminant estimation of natural scenes using the sensor correlation method.
    S. Tominaga, A. Ishida, and B. A. Wandell (2002).
    Proceedings of the IEEE. 9th Congress of the International Colour Association vol. 4421, pp. 918-921.
  3. Natural scene-illuminant estimation using the sensor correlation.
    S. Tominaga and B. A. Wandell (2002).
    Proceedings of the IEEE. vol. 90, Issue 1, pp. 42-56.
  4. Illuminating Illumination.
    Jeffrey M. DiCarlo, Feng Xiao and Brian A Wandell, Ninth Color Imaging Conference, pgs. 27-34, 2001.
    (see related work from Georg Petschnigg and colleagues at Microsoft).
  5. Scene illuminant classification: brighter is better click here to see {Color figures} .
    S. Tominaga, S. Ebisui, and B. A. Wandell (2001). JOSA A, vol 18, no. 1 pp. 55-64.
  6. Illuminant Estimation: Beyond the Bases
    J. M. DiCarlo and B. A. Wandell (2000). Eighth Color Imaging Conference, pgs. 91-96, Scottsdale, AZ, USA
  7. Estimating Spectral Reflectance of Art Work
    Farrell, Saunders, Cuppitt, Wandell (1999). Chiba Conference on Multispectral Imaging.
  8. Linear models of surface and illuminant spectra
    David H. Marimont, Brian A. Wandell, JOSA A, vol. 9 Issue 11 Page 1905 (November 1992)
  9. Component estimation of surface spectral reflectance
    Shoji Tominaga, Brian A. Wandell, JOSA A, vol. 7 Issue 2 Page 312 (February 1990)
  10. Standard surface-reflectance model and illuminant estimation
    Shoji Tominaga, Brian A. Wandell, JOSA A, vol. 6 Issue 4 Page 576 (April 1989)

Camera sensor design and analysis

  1. Integrating Lens Design with Digital Camera Simulation.
    P. Maeda, P. Catrysse, B. Wandell (2005).
    In Proceedings of the SPIE Electronic Imaging '2005 Conference, Santa Clara, CA, January 2005
  2. A simulation tool for evaluating digital camera image quality.
    J. E. Farrell, F. Xiao, P. Catrysse, B. Wandell
    Proc. SPIE vol. 5294, p. 124-131, Image Quality and System Performance, Miyake and Rasmussen (Eds). January 2005
  3. Integrated color pixels in 0.18-um complementary metal oxide semiconductor technology
    P. Catrysse and B. Wandell (2003).
    JOSA A vol. 20, No. 12, 2293-2306.
  4. Color Estimation Error Trade-offs
    U. Barnhofer, J. DiCarlo, Ben Olding and B. Wandell (2003).
    Proc. SPIE vol. 5017, Santa Clara, CA, January 2003, San Jose
  5. Optical efficiency of image sensor pixels
    P. B. Catrysse and B. A. Wandell (2002).
    JOSA A, vol. 19, No. 8, pp. 1610-1620
  6. Experimental high speed cmos image sensor system and applications
    Ali Ozer Ercan, Feng Xiao, Xinqiao Liu, Suk Hwan Lim, Abbas El Gamal and Brian Wandell (2002).
    IEEE Sensors.
  7. An integrated color pixel in 0.18 um CMOS technology.
    P. Catrysse, A. El Gamal and B. A. Wandell (2001)
    Proceedings of the IEDM, IEDM-01-559, Published by the IEEE. Washington D.C., 2001.
  8. Image analysis using modulated light sources
    F. Xiao, J. M. DiCarlo, P. B. Catrysse and B. A. Wandell (2001).
    Proceedings of the SPIE, Image Sensors. vol. 4306, pp. 22-30, San Jose, CA January 2001
  9. How Small Should Pixel Size Be?
    Chen, Catrysse, El Gamal, Wandell, (2000).
    Proceedings of the SPIE, Image Sensors. Vol 3965, San Jose, CA January 2000
  10. Rendering high dynamic range images
    J. M. DiCarlo and B. A. Wandell, (2000).
    Proceedings of the SPIE, Image Sensors. Vol 3965, pgs. 392-401, San Jose, CA January 2000
  11. Multiple Capture Single Image with a CMOS Sensor
    Wandell, Catrysse, DiCarlo, Yang, El Gamal (1999).
    Chiba Conference on Multspectral Imaging, pgs. 11-17.
  12. Comparative analysis of color architectures for image sensors
    Catrysse, Wandell, and El Gamal, (1999)
    Proceedings of the SPIE, Vol 3650, San Jose, CA

Display and font modeling



Appearance and discrimination metrics

  1. Psychophysical thresholds and digital camera sensitivity: the thousand photon limit.
    F. Xiao, J. Farrell and B. Wandell (2005).
    Proc. SPIE vol. 5678, p. 75-84, Digital Photography; Sampat, DiCarlo and Motta (Eds.)
    Santa Clara, CA, January 2005
  2. Preferred Color Spaces for White Balancing
    F. Xiao, J. Farrell, J. DiCarlo and B. Wandell (2003).
    In Proceedings of the SPIE Electronic Imaging '2003 Conference, vol. 5017, Santa Clara, CA, January 2003 , San Jose
  3. High Dynamic Range Imaging of Natural Scenes
    F. Xiao, J. DiCarlo, P. Catrysse and B. Wandell
    In Tenth Color Imaging Conference: Color Science, Systems, and Applications, 2002. Scottsdale, AZ.
  4. Color Spaces and Metrics
    K-H. Bauml, X. Zhang, and B. Wandell (2001). In Vision Models and Applications to Image and Video Processing. Edited by C. J. van den Branden Lambrecht, Kluwer Academic Publishers.
  5. Color Appearance and the Digital Imaging Pipeline
    Wandell (2000).
    International Conference on Pattern Recognition. Barcelona, Spain.
  6. Color Image Fidelity Metrics Evaluated Using Image Distortion Maps
    Zhang and Wandell (1998).
    Signal Processing, vol. 70, no 3 p. 201-214.
  7. Image Distortion Maps
    Zhang, Setiawan and Wandell, (1997)
    Proceedings of the Fifth Color Imaging Conference, IS&T, Scottsdale, Arizona.
  8. Applications of a spatial extension to CIELAB
    Zhang, Farrell and Wandell (1997)
    Proceedings of the SPIE
  9. Color image quality metric S-CIELAB and its application to halftone texture visibility
    Zhang, Silverstein, Farrell and Wandell (1997)
    IEEE Compcon 97.
  10. A spatial extension of CIELAB for digital color reproduction
    Zhang and Wandell (1996),
    Society for Information Display
  11. Color appearance in images: Measurements and Musings
    Wandell and Chichilnisky, (1994)
    Proceedings of the Second Color Imaging Conference, IS&T, Scottsdale, Arizona.
  12. Water into Wine: Converting Scanner RGB to Tristimulus XYZ.
    Wandell and Farrell (1993)
    Proceedings of the SPIE, San Jose
  13. Surface characterizations of color thresholds
    Allen B. Poirson, Brian A. Wandell, Denise C. Varner, David H. Brainard
    JOSA A, vol. 7 Issue 4 Page 783 (April 1990)
  14. Task-dependent color discrimination
    Allen B. Poirson, Brian A. Wandell,
    JOSA A, vol. 7 Issue 4 Page 776 (April 1990)
  15. Discrete analysis of spatial-sensitivity models
    Kenneth R. K. Nielsen, Brian A. Wandell,
    JOSA A, vol. 5 Issue 5 Page 743 (May 1988)
  16. Color measurement and discrimination
    Brian A. Wandell, JOSA A, vol. 2 Issue 1 Page 62 (January 1985)

S-CIELAB software

Image Systems Engineering Organization

 

 

links

Search