Statistical Models for Images:Compression,Restoration and Synthesis

Раздел: Статьи

Simoncelli Eero P

Statistical Models for Images:Compression,Restoration and Synthesis

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1997

abstract:

We present a parametric statistical model for visual images in the wavelet transform domain. We characterize the joint densities of coefficient magnitudes at adjacent spa-tial locations, adjacent orientations, and adjacent spatial scales. The model accounts for the statistics of a wide va-riety of visual images. As a demonstration of this, we’ve used the model to design a progressive image encoder with state-of-the-art rate-distortion performance. We also show promising examples of image restoration and texture synthesis

На статью

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

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