On the Natural Statistics of Chromatic Images

Zeina Sinno, A. Bovik
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引用次数: 4

Abstract

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.
彩色图像的自然统计
视觉大脑的最佳设计是处理我们所感知的自然环境中的图像。从统计学上描述自然环境有助于理解大脑如何有效地对这些图像进行编码。图像亮度分量的自然场景统计(NSS)是几种单变量和双变量统计模型的基础。其他颜色或色彩成分的NSS分析得较少。本文研究了亮度和其他色度分量的单变量和双变量NSS,以及它们之间的关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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