相机输出信号颜色分量的相关及去相关方法

D. Bereska, H. Palus
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引用次数: 1

摘要

典型的单片机CCD彩色摄像机提供的输出信号包含采集图像的RGB分量。显示了该信号的强通道间相关性,在某些应用中是不可接受的。因此,需要某种RGB色彩空间变换来降低这种相关性。只有Karhunen-Loeve变换(KLT)保证竞争去相关。但是,由于变换矩阵的系数必须对每幅图像单独计算,限制了该方法的应用。文中详细介绍了彩色图像有效实现这种变换的方法。最后给出了KLT在彩色图像处理领域的应用实例。使用标准彩色图像,显示了KLT的主要特性,即颜色分量的完全去相关和第一分量的能量压缩。本文还提出了一种方法,该方法可以确定某一类图像的KLT系数是恒定的,并同时保证完全去相关。找到这些系数的方法是简要描述和一些评论的标准,为这类的图像选择。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Correlation of color components of camera output signal and decorrelation methods
Typical single-chip CCD co0lor camera provides output signal containing RGB components of acquired image. Strong inter- channel correlation of that signal, unacceptable for some applications, is shown. Therefore, some kind of RGB color space transform is required to decrease this correlation. Only the Karhunen-Loeve transform (KLT) secures compete decorrelation. However, possible applications of this method are limited by the fact that coefficients of transform matrix must be calculated for each image separately. In the paper details of effective implementation such transform of color images are described. The examples of KLT applications in the field of color image processing are quoted. Using the standard color images, principal properties of KLT are shown, i.e. a complete decorrelation of color components and energy compaction in first components. This paper present also an approach that allows determining KLT coefficients that are constant for certain class of images and guarantee complete decorrelation simultaneously. A methodology for finding these coefficients is briefly described and some remarks on criteria of image selection for this class are made.
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