On the Natural Statistics of Chromatic Images

被引：0

作者：

Sinno, Zeina ^{[1
]}

Bovik, Alan C. ^{[1
]}

机构：

[1] Univ Texas Austin, Dept Elect & Comp Engn, Lab Image & Video Engn, Austin, TX 78712 USA

来源：

2018 IEEE SOUTHWEST SYMPOSIUM ON IMAGE ANALYSIS AND INTERPRETATION (SSIAI) | 2018年

关键词：

Chromatic Natural Scene Statistics; QUALITY; FILTERS; COLOR; CELLS;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The visual brain is optimally designed to process images from the natural environment that we perceive. Describing the natural environment statistically helps in understanding how the brain encodes those images efficiently. The Natural Scene Statistics (NSS) of the luminance component of images is the basis of several univariate and bivariate statistical models. The NSS of other colors or chromatic components have been less well-analyzed. In this paper, we study the univariate and bivariate NSS of luminance and other chromatic components and how they relate.

引用

页码：81 / 84

页数：4

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