Color-to-gray based on chance of happening preservation
Color-to-gray based on chance of happening preservation
复制标题
根据发生保存的可能性从颜色到灰色
DOI：
10.1016/j.neucom.2013.03.037
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发表时间：
2013-11
期刊：
影响因子：
6
通讯作者：
Yezhou Yang
中科院分区：
文献类型：
--
作者：
Dapeng Tao;Chun Chen;Jiajun Bu;Yezhou Yang
将彩色图像转换为灰度图像对于商业和科学应用都具有重要意义，例如降低出版成本，使色盲人群能够从彩色图像中捕捉视觉内容和语义。近年来，人们提出了十几种彩色到灰度转换的算法。然而，他们都没有考虑到彩色图像和转换后的灰度图像之间的视觉注意一致性。因此，这些方法可能无法将重要的视觉信息从原始彩色图像传达到转换后的灰度图像。受亥姆霍兹原理（Desolneux et al. 2008 [16]）的启发，“我们立即感知到任何不可能偶然发生的事情”，我们提出了一种新的颜色到灰色的算法来解决这个问题。特别是，我们首先定义了发生的机会（CoH）来衡量彩色图像中每个像素的注意力水平。然后，引入自然图像统计量来估计每个像素的CoH。为了在转换后的灰度图像中保持彩色图像的CoH，我们最后将彩色到灰度转换为有监督的降维问题，并提出了局部切片逆回归，可以有效地解决奇异值分解。在自然图像和人工图像上的实验表明：（1）该方法使彩色图像的CoH和灰度转换图像的CoH保持一致;（2）通过与典型基线算法的比较，验证了该方法的有效性和效率。此外，它不需要人机交互。
It is important to convert color images into grayscale ones for both commercial and scientific applications, such as reducing the publication cost and making the color blind people capture the visual content and semantics from color images. Recently, a dozen of algorithms have been developed for color-to-gray conversion. However, none of them considers the visual attention consistency between the color image and the converted grayscale one. Therefore, these methods may fail to convey important visual information from the original color image to the converted grayscale image. Inspired by the Helmholtz principle (Desolneux et al. 2008 [16]) that “we immediately perceive whatever could not happen by chance”, we propose a new algorithm for color-to-gray to solve this problem. In particular, we first define the Chance of Happening (CoH) to measure the attentional level of each pixel in a color image. Afterward, natural image statistics are introduced to estimate the CoH of each pixel. In order to preserve the CoH of the color image in the converted grayscale image, we finally cast the color-to-gray to a supervised dimension reduction problem and present locally sliced inverse regression that can be efficiently solved by singular value decomposition. Experiments on both natural images and artificial pictures suggest (1) that the proposed approach makes the CoH of the color image and that of the converted grayscale image consistent and (2) the effectiveness and the efficiency of the proposed approach by comparing with representative baseline algorithms. In addition, it requires no human–computer interactions.
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影响因子：
3.6
作者：
A. Desolneux;L. Moisan;J. Morel
通讯作者：
A. Desolneux;L. Moisan;J. Morel
DOI：
10.1016/c2009-0-27872-x
发表时间：
1972
期刊：
影响因子：
--
作者：
H. Shimodaira;Iain Murray
通讯作者：
Iain Murray
DOI：
10.1002/0470854774.ch1
发表时间：
2006
期刊：
--
影响因子：
--
作者：
P. Pudil;P. Somol;M. Haindl
通讯作者：
P. Pudil;P. Somol;M. Haindl
DOI：
10.1117/1.2778686
发表时间：
2005-11
期刊：
J. Electronic Imaging
影响因子：
--
作者：
Chun-Hsien Chou;Kuo-Cheng Liu;Chien-Sheng Lin
通讯作者：
Chun-Hsien Chou;Kuo-Cheng Liu;Chien-Sheng Lin
影响因子：
10.6
作者：
Xinchao Wang;Zhu Li;D. Tao
通讯作者：
Xinchao Wang;Zhu Li;D. Tao