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Neuroimaging

Presentations and Commentaries

  1. Maps, Plasticity, and Reading (HBM Keynote, 2007)
    B. A. Wandell
    Human Brain Maping (HBM, 2007)
  2. NIPS Tutorial on Diffusion Tensor Imaging.
    B. A. Wandell, A. Sherbondy and R.F. Dougherty (2006)
    Neural Information Processing Society (NIPS)
  3. Critical Periods Revisited: Plasticity of Sensory Systems
    presentations by at the New York Academy of Sciences.
    B. A. Wandell, September 24, 2007, NY, NY
    This eBriefing includes presentations by Movshon, Gilbert and Hensch and several overviews.
  4. What's in your mind?
    Wandell (2008), Nature Neuroscience, vol. 11, No. 4.
    Commentary on Identifying natural images from human brain activity
    Kay et al., (2008) Nature v. 452, pp. 352-355
  5. Colour vision: Cortical circuitry for appearance
    Wandell (2008), Current Biology,DOI: 10.1016/j.cub.2008.01.045
    Commentary on Perception matches selectivity in the human anterior color center
    Murphey et al., (2008) Current Biology v. 18, pp. 216-220.

Reviews

  1. Plasticity and stability of visual field maps in adult primary visual cortex.
    B. A. Wandell, S.M. Smirnakis (2009).
    Nature Reviews Neuroscience, doi:10.1038/nrn2741
    N.B. The Supplementary Material is incorporated at the end of the PDF.
  2. Visual Field Maps in Human Cortex
    B. A. Wandell, S.O. Dumoulin and A. A. Brewer (2007)
    Neuron, V. 56 , p. 366-383
  3. Visual Areas in Humans
    B. A. Wandell, S.O. Dumoulin and A. A. Brewer (2007)
    Encyclopeda of Neuroscience Editor L. Squire
  4. Computational Neuroimaging; Color Signals in the Visual Pathways.
    B. A. Wandell, S.O. Dumoulin and A. A. Brewer (2006)
    Neuro-opthalmol. Jpn. vol. 23 pp. 324-343
  5. Computational Neuroimaging: Maps and Tracts in the Human Brain.
    B. A. Wandell and R. F. Dougherty (2006).
    Proc. of the SPIE-IS&T Electronic Imaging, vol. 6057, pp. 1-12.
  6. Visual Field Map Clusters in Human Cortex.
    B. Wandell, A. A. Brewer and R.F. Dougherty (2005)
    Phil. Trans. of the Royal Society London, vol. 360, pp. 693-707
  7. Interpreting the BOLD Signal. 
    N. Logothetis and B. Wandell (2004).
    Annual Review of Physiology.  January 2004, vol. 66, pp. 735-769   Personal commentary
  8. Functional imaging of the visual pathways..  
    B. Wandell and A. Wade (2003).
    Neurologic Clinics.  May 2003, vol. 21, pp. 417-43   .
  9. Computational Neuroimaging: Color Representations and Processing.
    B. Wandell (2000)
    The New Cognitive Neurosciences Editor, Michael Gazzaniga. MIT Press, pp. 291-304.
    (The file here is a PDF pre-print).
  10. Computational Neuroimaging: Color tuning in two human cortical areas measured using fMRI.
    Wandell, Baseler, Boynton and Engel (2000).
    Color Vision: From Molecular Genetics to Perception.
    Ed. K. Gegenfurtner and L. T. Sharpe, Cambridge University Press.
  11. Computational Neuroimaging of Human Visual Cortex.
    B. Wandell (1999). Computational Neuroimaging of Human Visual Cortex
    Annual Review of Neuroscience vol. 10 no. 22, pp. 145-173.

Visual Field Maps

  1. Mapping hV4 and ventral occipital cortex: The venous eclipse
    J. Winawer, H. Horiguchi, R. A. Sayres, K. Amano, B. A. Wandell (in press)
    Journal of Vision
  2. Visual field maps, population receptive field sizes, and visual field coverage in the human MT+ complex
    K. Amano, B. Wandell and S. Dumoulin (2009)
    J. Neurophys. Epub ahead of print. doi:10.1152/jn.00102.2009
    Supplemental Material
  3. Visual field maps and stimulus selectivity in human ventral occipital cortex.
    Brewer AA, Liu J, Wade AR, Wandell BA (2005)
    Nat Neurosci, vol. 8, no. 8, pp. 1102-9.
    Corrigendum: Nat. Neurosci (2005) vol 8. no 10, pp. 1411.
    The discussion section contains an incorrect citation. In the 3rd paragraph on page 1107, "Tootell et al.16 (subsequent to Halgren et al.)" should read: "Tootell et al.16 (subsequent to Hadjikhani et al.)". The authors regret the error.
  4. Visual field representations and locations of visual areas V1/2/3 in human visual cortex
    (HTML)    , (PDF)
    R. F. Dougherty, V. M. Koch, A. A. Brewer, B. Fischer, J. Modersitzki and B. A. Wandell (2003).
    Visual field representations and locations of visual areas V1/2/3 in human visual cortex.
    Journal of Vision, 3(10),586-598, DOI 10.1167/3.10.1. (See correction to table.)
  5. Visual areas in macaque cortex measured using functional magnetic resonance imaging
    A. A. Brewer, W. A. Press, N. K. Logothetis, and B. A. Wandell (2002)
    J. Neurosci. 22(23) pp. 10416-10426
  6. Visual Areas and Spatial Summation in Human Visual Cortex
    Press, Brewer, Dougherty, Wade and Wandell (2001).
    Vision Research, v 41, pp. 1321-1332
  7. Topographic Organization of Human Visual Areas in the Absence of Input from Primary Cortex
    Heidi A. Baseler, Antony B. Morland, and Brian A. Wandell.
    J. Neurosci. 1999 19: 2619-2627.
  8. Retinotopic organization in human visual cortex and the spatial precision of functional MRI
    Engel, Glover and Wandell (1997).
    Cerebral Cortex, vol. 7, no. 2, pp. 181-92.
  9. Functional magnetic resonance imaging of human visual cortex
    Engel, Rumelhart, Wandell, Lee, Shadlen, and Glover (1994).
    Nature, June 16. vol. 369, p. 525.

Plasticity and development

  1. Cortical maps and white matter tracts following long period of visual deprivation and retinal image restoration
    N. Levin, S. Dumoulin, J. Winawer, R. Dougherty and B. Wandell
    Neuron V. 65, pp. 21-31
  2. Congenital Achiasma and See-Saw Nystagmus in VACTERL Syndrome.
    S. Prakash, S. Dumoulin, N. Fischbein, B. A. Wandell, Y.J. Liao (2009).
    J. Neuro-Ophthalmology Volume. 29
  3. V1 Projection zone signals in human macular degeneration depend on task, not stimulus
    Y. Masuda, S.O. Dumoulin, S. Nakadomari and B.A. Wandell (2008).
    Cerebral Cortex Feb. 3, 2008 [Epub ahead of print].
  4. Assessment of stimulus induced changes in human V1 visual field maps.
    Liu JV, Ashida H, Smith AT, Wandell BA. (2006).
    J Neurophysiol Sep 27; [Epub ahead of print]. PMID: 17005617
  5. Long-term deprivation affects visual perception and cortex.
    Fine I, Wade AR, Brewer AA, May MG, Goodman DF, Boynton GM, Wandell BA, MacLeod DI (2003).
    Nature Neuroscience 6(9) pp. 915-916
  6. Lack of long-term cortical reorganization after macaque retinal lesions. 
    Stelios M. Smirnakis Alyssa A. Brewer, Michael C. Schmid, Andreas S. Tolias, Almut Schüz, Mark Augath, Werner Inhoffen, Brian A. Wandell and  Nikos K. Logothetis (2005)
    Nature. vol. 435, 19 May, (doi: 10.1038/nature03495)
    News and Views by M. I. Sereno (Nature vol. 435, pp. 288-289 (19 May 2005) | doi: 10.1038/435288a )
    Exchange of views with Calford et al. (Nature, vol. 438, no. 10, p. E3)
  7. Reorganization of human cortical maps caused by inherited photoreceptor abnormalities
    Heidi A. Baseler, Alyssa A. Brewer, Lindsay T. Sharpe, Antony B. Morland , Herbert Jägle and Brian A. Wandell (2002). 
    Nature Neuroscience, Apr;5(4):364-70.
  8. Abnormal retinotopic representations in human visual cortex revealed by fMRI.   
    Morland AB, Baseler HA, Hoffmann MB, Sharpe LT, Wandell BA. (2001) 
    Acta Psychol (Amst) Apr; 107(1-3):229-47
  9. Extrastriate visual signals in the absence of striate cortex in a human hemianope
    Baseler, Morland and Wandell (1998).
    NeuroImage Human Brain Mapping Meeting Abstract.

Color, Time, Motion

  1. Two temporal channels in human V1 identified using fMRI
    H. Horiguchi, S. Nakadomari, M. Misaki, B. Wandell (2009).
    NeuroImage, v. 47 pp. 273-280.
  2. fMRI measurements of color in macaque and human
    Alex Wade, Mark Augauth, Nikos Logothetis, and Brian A. Wandell (2008)
    HTML: Online at JOV
    Journal of Vision 8(10):6, pp. 1-19
  3. No Functional Magnetic Resonance Imaging Evidence for Brightness and Color Filling-In In Early Human Visual Cortex
    Frans W. Cornelissen, Alex R. Wade, Tony Vladusich, Robert F. Dougherty, and Brian A. Wandell (2006)
    J. Neurosci 26:3634-3641.
  4. Specializations for chromatic and temporal signals in human visual cortex.
    J. Liu and B. A. Wandell (2005)
    J. Neurosci.  35(13):3459-3468
  5. Cone signal interactions in direction-selective neurons.
    HTML: Journal of Vision (V 5 No. 7 Article 1, 2005)
    C. L. Barberini, M. R. Cohen, B. A. Wandell and W. T. Newsome (2005)
    Matlab scripts and Image System Engineering Tools (ISET-1.0) from ImagEval
    Journal of Vision.   
  6. Chromatic Light Adaptation Measured using Functional Magnetic Resonance Imaging.
    A. R. Wade and Brian A. Wandell (2002).
    J. Neurosci, 22 (18):8148-8157
  7. Functional Measurements of Human Ventral Occipital Cortex: Retinotopy and Color.
    A. R. Wade, A. Brewer, and Brian A. Wandell (2002). 
    Philosophical Transactions of the Royal Society, Series B. (London) Vol: 357 No. 1424 pp. p963- p973
  8. Perceived speed of colored stimuli.
    R. F. Dougherty, William A. Press, Brian A. Wandell (1999).
    Neuron, Vol 24 893-899.
  9. Color signals in human motion selective cortex.
    B. A. Wandell, Allen B. Poirson, William T. Newsome, Heidi Baseler, Geoffrey Boynton, Alex Huk, Sunil Ghandi and Lindsay T. Sharpe (1999).
    Neuron, vol. 24, 901-909.
  10. Color signals in are MT of the macaque monkey.
    E. Seidemann, A. B. Poirson, B. A. Wandell, W. T. Newsome (1999).
    Neuron, vol. 24 911-917.
  11. Color tuning in human visual cortex measured using functional magnetic resonance imaging.
    Engel, Zhang and Wandell (1997).
    Nature, July 3, vol. 388, no. 6637.
    The brief Nature paper did not provide an adequate description of the spatial properties of the stimulus, whose diameter subtended 20 deg of visual angle.

Computational Methods and Visualization

  1. Population receptive field estimates in human visual cortex (Galleys)
    Serge O. Dumoulin and Brian A. Wandell (2007)
    Neuroimage. Volume 39, Issue 2, 15 January 2008, pp. 647-660
    doi:10.1016/j.neuroimage.2007.09.034
  2. Visualization and Measurement of the Cortical Surface. 
    B. Wandell, S. Chial and B. Backus (2000).
    Journal of Cognitive Neuroscience, vol. 12, no. 5. pp. 739-52.
    This paper describes the methods used in the unfolding software that we distribute (see below).  It also provides an overview of the principles, problems, and related methods that can be found at other sites.
  3. Creating Connected Representations of Cortical Gray Matter for Functional MRI Visualization
    P. Teo, G. Sapiro and B. Wandell (1997).
    IEEE Med. Transactions, vol. 16 (6), 852-863.
    This paper describes the algorithm for obtaining a segmented and connected gray matter representation from T1 weighted MR images.
    The algorithm is implemented in the software package we distribute (see below).
  4. Exploration of the Brain's White Matter Pathways with Dynamic Queries. 
    David Akers, Anthony Sherbondy, Rachel Mackenzie, Robert Dougherty, Brian Wandell (2004)
    In Proceedings IEEE Visualization, pages 377-384, October 2004.
    Related software and further demonstrations.
  5. Exploration of the Brain's White Matter Pathways with Dynamic Queries. 
    Anthony Sherbondy, David Akers, Rachel Mackenzie, Robert Dougherty, Brian Wandell. (In Press).
    IEEE Transactions on Visualization and Computer Graphics.

Visualization software

Miscellaneous collaborations

  1. Laminar profiles of functional activity in the human brain
    Ress D, Glover GH, Liu J, Wandell B. (2006).
    Neuroimage. Sep 28. PMID: 17011213
  2. Predominantly extra-retinotopic cortical response to pattern symmetry.
    Christopher W. Tyler, Heidi A. Baseler, Leonid L. Kontsevich, Lora T. Likova, Alex R. Wade and Brian A. Wandell (2005).
    Neuroimage 24, pp. 306-314.
  3. Full brain coverage and high-resollution imaging capabilities of passband b-SSFP fMRI at 3T
    Jin Lee, S. Dumoulin, E. Saritas, G. Glover, B. Wandell, D. Nishimura and J.M. Pauly (2008)
    Magnetic Resonance in Medicine 59, pp. 1099-1110.

 

Reading and development

 

Reviews and Public Talks

  1. White matter pathways in reading.
    Michal Ben-Shachar, R.F. Dougherty and B.A. Wandell (2007).
    Current Opinions in Neurobiology Volume 17 pp. 258-270.
  2. Presentation at the Learning Conference in San Francisco

Functional Imaging

  1. Contrast responsivity in MT+ correlates with phonological awareness and reading measures in children
    M. Ben-Shachar, RF Dougherty, GK Deutsch, BA Wandell (2007).
    NeuroImage . v. 37, pp. 1396-1406.
  2. Differential sensitivity to words and shapes in ventral occipito-temporal cortex.
    M. Ben-Shachar, RF Dougherty, GK Deutsch, BA Wandell (2006).
    Cereb Cortex . v. 17, no. 7, pp. 1604-1611 (doi:10.1093/cercor/bhl071)

Diffusion Tensor Imaging

  1. Think global, act local: Projectome estimation with BlueMatter
    Sherbondy, A. J., Dougherty, R. F., Ananthanarayanan, R. Modha, D.S. and Wandell, B. A. (2009).
    G.Z. Yang et al. (Eds): MICCAI 2009 pp. 861-868
  2. Identifying the human optic radiation using diffusion imaging and fiber tractography
    Sherbondy, A. J., Dougherty, R. F., Napel, S., & Wandell, B. A. (2008).
    Journal of Vision Vol. 8, no. 10, pp 1-11. [html]
  3. ConTrack: Finding the most likely pathways between brain regions using diffusion tractography.
    Sherbondy, A. J., Dougherty, R. F., Ben-Shachar, M., Napel, S., & Wandell, B. A. (2008).
    Journal of Vision 8(9):15, pp. 1-16.
    doi:10.1167/8.9.15 (PDF)
  4. Temporal-callosal pathway diffusivity predicts phonological skills in children.
    Robert F. Dougherty, Michal Ben-Shachar, Gayle K. Deutsch, Arvel Hernandez, Glenn R. Fox, and Brian Wandell (2007).
    PNAS, vol. 104, pp. 8556-8561.
  5. Occipital-Callosal pathways in children: Validation and atlas development
    Robert F. Dougherty, Michal Ben-Shachar, Gayle Deutsch, Polina Potanina, Roland Bammer, Brian Wandell (December, 2005)
    Annals of the NY Academy of Sciences , Volume 1064, pp. 98-112.
  6. Functional organization of human occipital-callosal fiber tracts
    Robert F. Dougherty, Michal Ben-Shachar, Roland Bammer, Alyssa Brewer, Brian Wandell (2005).
    PNAS, vol. 102, no. 20, pp. 7350-7355.
  7. Children's Reading Performance is Correlated with White Matter Structure Measured by Diffusion Tensor Imaging
    Gayle K. Deutsch, Robert F. Dougherty, Roland Bammer, Wai Ting Siok, John D.E. Gabrieli, Brian Wandell (2005).
    Cortex, vol. 41, pp. 354-363.
  8. Cross-Subject comparison of principal diffusion direction maps.
    A. Schartzman, R. F. Dougherty, and J. Taylor (2005).
    Magn Reson Med. Jun;53(6):1423-31

Image Systems Engineering

 

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. Dictionaries for sparse representation and recovery of reflectances .
    S. Lansel, M. Parmar, B.A. Wandell (2009).
    Proc. SPIE, Vol 72460D doi:10.1117/12.813769
  2. Spectral estimation theory: beyond linear but before Bayesian .
    DiCarlo JM, Wandell BA (2003).
    J. Opt Soc Am A Jul;20(7):1261-70.
  3. 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.
  4. 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.
  5. 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).
  6. 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.
  7. Illuminant Estimation: Beyond the Bases
    J. M. DiCarlo and B. A. Wandell (2000). Eighth Color Imaging Conference, pgs. 91-96, Scottsdale, AZ, USA
  8. Estimating Spectral Reflectance of Art Work
    Farrell, Saunders, Cuppitt, Wandell (1999). Chiba Conference on Multispectral Imaging.
  9. Linear models of surface and illuminant spectra
    David H. Marimont, Brian A. Wandell, JOSA A, vol. 9 Issue 11 Page 1905 (November 1992)
  10. Component estimation of surface spectral reflectance
    Shoji Tominaga, Brian A. Wandell, JOSA A, vol. 7 Issue 2 Page 312 (February 1990)
  11. 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. Mobile Imaging: The Big Challenge of the Small Pixel.
    F. Xiao, J. Farrell, P. Catrysse, B. Wandell (2009).
    Proceedings of the SPIE Electronic Imaging '2009 Conference, January 2009 In Digital Photography V, Vol. 7250, 72500K,
    Edited by Brian G. Rodricks, Sabine E. Susstrunk
  2. Interleaved Imaging: An Imaging System Design Inspired by Rod-Cone Vision
    M. Parmar and B. Wandell (2009).
    Proc. SPIE, Vol. 7250, 725008 (2009); doi:10.1117/12.806367
    Electronic Imaging '2009 Conference, Santa Clara, CA, January 2009
  3. 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
  4. 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
  5. 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.
  6. 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
  7. Optical efficiency of image sensor pixels
    P. B. Catrysse and B. A. Wandell (2002).
    JOSA A, vol. 19, No. 8, pp. 1610-1620
  8. 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.
  9. 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.
  10. 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
  11. 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
  12. 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
  13. Multiple Capture Single Image with a CMOS Sensor
    Wandell, Catrysse, DiCarlo, Yang, El Gamal (1999).
    Chiba Conference on Multspectral Imaging, pgs. 11-17.
  14. 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


  1. A Display Simulation Toolbox for Image Quality Evaluation
    J. E. Farrell, G. Ng, X. Ding, G. Larson and B. A. Wandell (2008)
    Journal of Display Technology, Vol 4, No. 2, pp. 262-270


Appearance and discrimination metrics

  1. Using visible SNR (vSNR) to compare the image quality of pixel binning and digital resizing .
    J. Farrell, M. Okincha, M. Parmar and B. Wandell (2010)
    Proc. SPIE Vol. 7537, 75370C, Digital Photography VI, edited by F. Imai, N. Sampat, F. Xiao, doi: 10.1117/12.839149
  2. 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
  3. 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
  4. 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.
  5. 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.
  6. Color Appearance and the Digital Imaging Pipeline
    Wandell (2000).
    International Conference on Pattern Recognition. Barcelona, Spain.
  7. Color Image Fidelity Metrics Evaluated Using Image Distortion Maps
    Zhang and Wandell (1998).
    Signal Processing, vol. 70, no 3 p. 201-214.
  8. Image Distortion Maps
    Zhang, Setiawan and Wandell, (1997)
    Proceedings of the Fifth Color Imaging Conference, IS&T, Scottsdale, Arizona.
  9. Applications of a spatial extension to CIELAB
    Zhang, Farrell and Wandell (1997)
    Proceedings of the SPIE
  10. Color image quality metric S-CIELAB and its application to halftone texture visibility
    Zhang, Silverstein, Farrell and Wandell (1997)
    IEEE Compcon 97.
  11. A spatial extension of CIELAB for digital color reproduction
    Zhang and Wandell (1996),
    Society for Information Display
  12. Color appearance in images: Measurements and Musings
    Wandell and Chichilnisky, (1994)
    Proceedings of the Second Color Imaging Conference, IS&T, Scottsdale, Arizona.
  13. Water into Wine: Converting Scanner RGB to Tristimulus XYZ.
    Wandell and Farrell (1993)
    Proceedings of the SPIE, San Jose
  14. 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)
  15. Task-dependent color discrimination
    Allen B. Poirson, Brian A. Wandell,
    JOSA A, vol. 7 Issue 4 Page 776 (April 1990)
  16. Discrete analysis of spatial-sensitivity models
    Kenneth R. K. Nielsen, Brian A. Wandell,
    JOSA A, vol. 5 Issue 5 Page 743 (May 1988)
  17. Synthesis and analysis of color signals
    Brian A. Wandell,
    IEEE PAMI, vol. 9, p. 2-13.
  18. Color measurement and discrimination
    Brian A. Wandell, JOSA A, vol. 2 Issue 1 Page 62 (January 1985)
  19. On the analysis of nerve signals deduced from metacontrast experiments with human observers
    Brian A. Wandell, J. Physiol. , (1976), 263, pp. 321-329
  20. Equivalence classes of functions of finite markov chains
    Brian A. Wandell, J. Math. Psych., (1974) vol. 11, pp. 391-403.

S-CIELAB software

Image Systems Engineering Organization

 

Color Vision

 

General or Tutorial Papers


Color Appearance Papers

  1. Trichromatic Opponent Color Classification
    E.J. Chichilnisky and B. A. Wandell (1999).    Abstract. Data. Vision Research , vol. 39, no. 20, pp. 3444-58.
  2. Seeing gray through the ON- and OFF- pathways.
    E.J. Chichilnisky and B.A. Wandell (1996). Visual Neuroscience, vol. 13, pp. 591-596.
  3. Color appearance of mixture gratings.
    K-H Baeuml and B. Wandell (1996). Vision Research, , vol. 36, no. 18, pp.2849-2864.
  4. Pattern-color separable pathways predict sensitivity to simple colored patterns
    Poirson and Wandell (1996). Vision Research, vol. 36, no. 4, 515-526
  5. Photoreceptor sensitivity changes explain color appearance shifts induced by large uniform backgrounds in dichoptic matching.
    E.J. Chichilnisky and B.A. Wandell (1995). Vision Research, vol. 35, no. 2, pp. 239-254.
  6. Appearance of colored patterns: pattern-color separability
    Allen B. Poirson, Brian A. Wandell (December 1993). JOSA A, vol. 10 Issue 12 Page 2458-2470
  7. A Bilinear model of the illuminant's effect on color appearance. D. H. Brainard and Brian A. Wandell (1991).
    In Computational models of visual processing, Ed. M.S. Landy and J. A. Movshon
  8. Asymmetric color matching: how color appearance depends on the illuminant
    David H. Brainard, Brian A. Wandell (September 1992). JOSA A, vol. 9 Issue 9 Page 1433
  9. Analysis of the retinex theory of color vision
    David H. Brainard, Brian A. Wandell (October 1986). JOSA A, vol. 3 Issue 10 Page 1651
  10. Color constancy: a method for recovering surface spectral reflectance
    Laurence T. Maloney, Brian A. Wandell (January 1986).  JOSA A, vol. 3 Issue 1 Page 29
  11. Color measurement and discrimination.
    Brian A. Wandell (1985). JOSA A, vol. 2 Issue 1 Page 62-71

 

Chromatic aberration


Chromatic aberration Software