重新审视自然图像的主要成分。
The principal components of natural images revisited.
作者信息
Heidemann Gunther
机构信息
Department of Electrical and Computer Engineering, Florida A&M University, Tallahassee 32310, USA.
出版信息
IEEE Trans Pattern Anal Mach Intell. 2006 May;28(5):822-6. doi: 10.1109/TPAMI.2006.107.
PMID:16640267
Abstract
This paper investigates the principal components (PCs) of natural gray and color images. A horizontal and vertical typology of PCs is found which leads to the identification of groups of basis functions for steerable bandpass filters. Using this system, the contribution of spatio-chromatic structure to the total variance can be quantified for selected spatial frequencies.
摘要
本文研究了自然灰度图像和彩色图像的主成分（PCs）。发现了主成分的一种水平和垂直类型学，这导致了可操纵带通滤波器的基函数组的识别。使用该系统，可以针对选定的空间频率量化空间色度结构对总方差的贡献。
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