Apparent Greyscale: A Simple and Fast Conversion to Perceptually Accurate Images and Video

Apparent Greyscale: A Simple and Fast Conversion to Perceptually Accurate Images and Video
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DOI:
10.1111/j.1467-8659.2008.01116.x
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发表时间:
2008-04
影响因子:
2.5
通讯作者:
Kaleigh Smith;Pierre-Edouard Landes;J. Thollot;K. Myszkowski
Kaleigh Smith;Pierre-Edouard Landes;J. Thollot;K. Myszkowski
中科院分区:
计算机科学4区
文献类型:
--
作者:
Kaleigh Smith;Pierre-Edouard Landes;J. Thollot;K. Myszkowski

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本文提出了一种快速,简单的方法将复杂的图像和视频转换为感知准确的灰度版本。我们使用两步方法,首先全局分配灰度值并确定颜色顺序,然后局部增强灰度以再现原始对比度。我们的全局映射是独立于图像的,并结合了Helmholtz-Kohlrausch颜色外观效应,用于预测等亮度颜色之间的差异。我们的多尺度局部对比度增强重新引入丢失的不连续性,只有在区域,不足以代表原始的色彩对比度。所有操作都受到限制,以便它们保留整体图像外观,亮度范围和差异,颜色顺序和空间细节,从而实现彩色原件的感知准确的消色差复制。
This paper presents a quick and simple method for converting complex images and video to perceptually accurate greyscale versions. We use a two‐step approach first to globally assign grey values and determine colour ordering, then second, to locally enhance the greyscale to reproduce the original contrast. Our global mapping is image independent and incorporates the Helmholtz‐Kohlrausch colour appearance effect for predicting differences between isoluminant colours. Our multiscale local contrast enhancement reintroduces lost discontinuities only in regions that insufficiently represent original chromatic contrast. All operations are restricted so that they preserve the overall image appearance, lightness range and differences, colour ordering, and spatial details, resulting in perceptually accurate achromatic reproductions of the colour original.