Texture Characterization via Joint Statistics of Wavelet Coefficient Magnitudes

Раздел: Статьи

Simoncelli Eero P.,Portilla Javier

Texture Characterization via Joint Statistics of Wavelet Coefficient Magnitudes

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1998

abstract:

We present a parametric statistical characterization of texture images in the context of an overcomplete complex wavelet frame. The characterization consists of the local autocorrelation of the coefficients in each subband, the lo-cal autocorrelation of the cofficent magnitudes, and the cross-correlation of coefficient magnitudes at all orientations and adjacent spatial scales. We develop an efficient algorithm for sampling from an implicit probability density conform-ing to these statistics, and demonstrate its effectiveness in synthesizing artificial and natural texture images

На статью

Graphics & Media Lab. >> Библиотека | Курсы | Графикон

Верстка, дизайн, программирование Людмила Попова
Выпускающий редактор Дмитрий Ватолин
Подготовка материала Ольга Карпенко