IntroductionThis site contains information relating to the statistical properties of natural scenes.
Burge J & Geisler WS (2013). Optimal disparity estimation in natural stereo images. (In Review)
Perry JS & Geisler WS (2013) Natural scene statistics for image denoising. Technical Report UT-CPS-TR-13-001, Austin: Center for Perceptual Systems.
D'Antona AD, Perry JS & Geisler WS (2013). Humans make efficient use of natural image statistics when performing spatial interpolation. (In Review)
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.
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.
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.
WS Geisler, JS Perry (2009). Contour statistics in natural images: Grouping across occlusions Visual Neuroscience, 26, 109-121.
WS Geisler, JS Perry, AD Ing (2008). Natural Systems Analysis. SPIE Proceedings 6806, Human Vision and Electronic Imaging XIII, February 13.