| dc.contributor.author | Huang, Jinggang | |
| dc.contributor.author | Mumford, David Bryant | |
| dc.date.accessioned | 2010-03-18T15:15:45Z | |
| dc.date.issued | 1999 | |
| dc.identifier.citation | Huang, Jinggang, and David Bryant Mumford. 1999. Statistics of natural images and models. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition: June 23-25, 1999, Fort Collins, Colorado, ed. IEEE Computer Society, 541-547. Los Alamitos, CA: IEEE Computer Society Press. | en_US |
| dc.identifier.isbn | 0769501494 | en_US |
| dc.identifier.uri | http://nrs.harvard.edu/urn-3:HUL.InstRepos:3720032 | |
| dc.description.abstract | Large calibrated datasets of `random' natural images have recently become available. These make possible precise and intensive statistical studies of the local nature of images. We report results ranging from the simplest single pixel intensity to joint distribution of 3 Haar wavelet responses. Some of these statistics shed light on old issues such as the near scale-invariance of image statistics and some are entirely new. We fit mathematical models to some of the statistics and explain others in terms of local image features | en_US |
| dc.description.sponsorship | Mathematics | en_US |
| dc.language.iso | en_US | en_US |
| dc.publisher | IEEE Computer Society Press | en_US |
| dc.relation.isversionof | doi:10.1109/CVPR.1999.786990 | en_US |
| dc.relation.hasversion | http://www.dam.brown.edu/people/mumford/Papers/DigitizedVisionPapers--forNonCommercialUse/99--ImageStats-Huang.pdf | en_US |
| dash.license | LAA | |
| dc.title | Statistics of Natural Images and Models | en_US |
| dc.type | Monograph or Book | en_US |
| dc.description.version | Version of Record | en_US |
| dash.depositing.author | Mumford, David Bryant | |
| dc.date.available | 2010-03-18T15:15:45Z | |
| dc.identifier.doi | 10.1109/CVPR.1999.786990 | * |
| dash.contributor.affiliated | Mumford, David | |
