An improved contrast enhancing approach for color-to-grayscale mappings
An improved contrast enhancing approach for color-to-grayscale mappings
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DOI：
10.1007/s00371-008-0231-2
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发表时间：
2008-07
期刊：
影响因子：
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通讯作者：
Giovane R. Kuhn;M. M. O. Neto-M.;Leandro A. F. Fernandes
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文献类型：
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作者：
Giovane R. Kuhn;M. M. O. Neto-M.;Leandro A. F. Fernandes
尽管用于图像捕获的彩色传感器广泛可用，但出于经济原因，文档和书籍的打印仍然主要以黑白白色完成。在这种情况下，所包含的插图和照片以灰度打印，这些图像的色度通道中编码的重要信息可能会丢失。我们提出了一个有效的对比度增强算法的颜色到灰度图像转换，同时使用亮度和色度信息。我们的算法比以前的基于优化的方法快三个数量级，同时提供了一些重要的图像属性的保证。更具体地说，我们的方法保留了存在于彩色图像中的灰度值，确保全局一致性，并局部执行亮度一致性。我们的算法是完全自动的，缩放图像中的像素数，并可以有效地实现在现代GPU上。我们还介绍了一个误差度量的颜色到灰度转换的质量进行评估。
Despite the widespread availability of color sensors for image capture, the printing of documents and books are still primarily done in black-and-white for economic reasons. In this case, the included illustrations and photographs are printed in grayscale, with the potential loss of important information encoded in the chrominance channels of these images. We present an efficient contrast enhancement algorithm for color-to-grayscale image conversion that uses both luminance and chrominance information. Our algorithm is about three orders of magnitude faster than previous optimization-based methods, while providing some guarantees on important image properties. More specifically, our approach preserves gray values present in the color image, ensures global consistency, and locally enforces luminance consistency. Our algorithm is completely automatic, scales well with the number of pixels in the image, and can be efficiently implemented on modern GPUs. We also introduce an error metric for evaluating the quality of color-to-grayscale transformations.