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Explosion of multidimensional image histograms

机译:多维图像直方图的爆炸式增长

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摘要

Enhancement of multispectral and true-color images is frequently accomplished by histogram modification. The color components are generally separately adjusted within an appropriate, often perceptually based, color coordinate system. However, independent component modification is seldom able to exploit the full extent of the RGB gamut unless some color values are clipped at the RGB boundaries. Further improvement in color contrast is sometimes more important than preserving perceptual attributes. For example, color composites derived from multispectral images have little basis in human perception and thus need not be perceptually constrained. "Histogram explosion", a new concept for multivariate enhancement, enables the full RGB extent to be exploited without clipping. While the algorithm is not generally based upon a perceptual model, original hue values may be preserved with proper parameter choices. The paper presents details of the histogram explosion method, an analysis of its computational complexity, and some experimental results.
机译:通过直方图修改经常完成多光谱和真彩图像的增强。颜色组件通常在适当的,通常感知的颜色坐标系上单独调整。但是,除非在RGB边界处剪裁某些颜色值,否则独立的组件修改很少能够利用RGB色域的全部范围。颜色对比的进一步改善有时比保留感知属性更重要。例如,来自多光谱图像的彩色复合材料在人类感知中几乎没有基础,因此不需要感知受到限制。 “直方图爆炸”,多元增强的新概念,使得在没有剪切的情况下能够利用完整的RGB范围。虽然算法通常不是基于感知模型,但是可以用适当的参数选择保留原始色调值。本文介绍了直方图爆炸方法的细节,其计算复杂性分析以及一些实验结果。

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