DocumentCode
3083293
Title
Statistics of natural images and models
Author
Huang, Jinggang ; Mumford, David
Author_Institution
Div. of Appl. Math., Brown Univ., Providence, RI, USA
Volume
1
fYear
1999
fDate
1999
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
Keywords
image processing; natural scenes; statistics; image statistics; natural images; wavelet responses; Biological system modeling; Entropy; Histograms; Machine vision; Mathematical model; Random variables; Statistical distributions; Statistics; Tail; Wavelet coefficients;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 1999. IEEE Computer Society Conference on.
Conference_Location
Fort Collins, CO
ISSN
1063-6919
Print_ISBN
0-7695-0149-4
Type
conf
DOI
10.1109/CVPR.1999.786990
Filename
786990
Link To Document