Natural Scene Statistics in Vision Science
Center for Perceptual Systems
University of Texas at Austin
Publications
Defocus
Burge J & Geisler WS (2012). Optimal defocus estimates from individual images for autofocusing a digital camera. Proceedings of the SPIE, 8299, 82990: E1-E12, January: Burlingame, CA.
Burge J & Geisler WS (2011). Optimal defocus estimation in individual natural images. Proceedings of the National Academy of Sciences, 108 (40): 16849-16854.
Burge J & Geisler WS (2011). Optimal image-based defocus estimates from individual natural images. Proceedings of the Optical Society of America: Imaging Systems & Applications, July: Toronto, Canada.
Super-Resolution
D'Antona AD, Perry JS & Geisler WS (2013). Humans make efficient use of natural image statistics when performing spatial interpolation. Journal of Vision, 13(14):11, 1-13.
Denoising
Perry JS & Geisler WS (2013). Natural scene statistics for image denoising. Technical Report UT-CPS-TR-13-001, Austin: Center for Perceptual Systems.
Retina Model
Bradley C, Abrams J & Geisler WS (2014). Retina-V1 model of detectability across the visual field. Journal of Vision, 14(12):22, 1-22.
Detection in Natural Images
Sebastian S, Abrams J & Geisler WS (2017). Constrained sampling experiments reveal principles of detection in natural scenes. Proceedings of the National Academy of Sciences, 14:28, E5731-E5740.
Sebastian S, Seemiller ES & Geisler WS (2020). Local reliability weighting explains identification of partially masked objects in natural scenes, Proceedings of the National Academy of Sciences, in press.
Other
Burge J & Geisler WS (2014). Optimal disparity estimation in natural stereo images. Journal of Vision, 14(2):1, 1-18.
Geisler WS & Perry JS (2011). Statistics for optimal point prediction in natural images. Journal of Vision, October 19, 2011 vol. 11 no. 12 article 14.
Geisler WS, Perry JS (2011). High-order statistics for point prediction in natural images. Imaging Systems Applications, OSA Technical Digest (CD) Optical Society of America, paper IMC1.
Geisler WS & Perry JS (2009). Contour statistics in natural images: Grouping across occlusions Visual Neuroscience, 26, 109-121.
Geisler WS, Perry JS & Ing AD (2008). Natural Systems Analysis. SPIE Proceedings 6806, Human Vision and Electronic Imaging XIII, February 13.
Geisler WS, Perry JS, Super BJ & Gallogly DP (2001). Edge co-occurrence in natural images predicts contour grouping performance. Vision Research, 41, 711-724.
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