Title :
Statistics of natural images and models
Author :
Huang, Jinggang ; Mumford, David
Author_Institution :
Div. of Appl. Math., Brown Univ., Providence, RI, USA
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;
Conference_Titel :
Computer Vision and Pattern Recognition, 1999. IEEE Computer Society Conference on.
Conference_Location :
Fort Collins, CO
Print_ISBN :
0-7695-0149-4
DOI :
10.1109/CVPR.1999.786990