Colour normalisation based on background information

M. Vanrell, F. Lumbreras, Albert Pujol, R. Baldrich, J. Lladós, J. Villanueva
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引用次数: 13

Abstract

This paper proposes an improvement on a well-known colour normalisation by the introduction of some knowledge on background. Comprehensive normalisation gives an invariant representation of the image colour. This invariant representation can be considered a canonical representation whenever image content is preserved and changes are only due to illuminant conditions. One of the steps of the normalisation is based on the grey-world normalisation that removes colour changes on each channel. Because a diagonal model is assumed, the independence of chromatic variations is also achieved if the channel normalisation is applied only with background mean in spite of image mean. This will allow one to remove illuminant effects meanwhile no influence from the foreground is introduced on the normalised coordinates. It will provide an almost canonical colour space without an explicit estimation of the scene illuminant.
基于背景信息的颜色归一化
本文通过引入一些背景知识,对已知的颜色归一化进行了改进。综合归一化给出了图像颜色的不变表示。这种不变的表示可以被认为是一种规范的表示,只要图像内容是保留的,改变只是由于照明条件。正规化的一个步骤是基于灰世界正规化,消除每个通道上的颜色变化。由于假设了对角线模型,因此如果通道归一化仅应用于背景平均值而不考虑图像平均值,则也可以实现颜色变化的独立性。这将允许人们去除光源的影响,同时没有来自前景的影响被引入到标准化的坐标上。它将提供一个几乎规范的色彩空间,没有明确的场景光源估计。
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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