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A DISTANCE TRANSFORMATION BASED ALGORITHM FOR DIGITAL IMAGE COLORIZATION

机译:基于距离变换的数字图像彩色化算法

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Colorization is a term used to describe a computerized process for adding color to black and white pictures, movies or TV programs by replacing a scalar value stored at each pixel of the gray scale image by a vector in a three dimensional color space with luminance, saturation and hue or simply RGB. Since different colors may carry the same luminance value but vary in hue and/or saturation, the problem of colorization has no inherently "correct" solution. Due to these ambiguities, human interaction usually plays a large role.rnIn this paper we present a novel colorization method that takes advantage of the morphological distance transformation, changes of neighboring pixel intensities and gradients to propagate the color within the gray scale image. The proposed method frees the user of segmenting the image, as color is provided simply by scribbles which are next automatically propagated within the image. The effectiveness of the algorithm allows the user to work interactively and to obtain the desired results promptly after providing the color scribbles. In the paper we show that the proposed method allows for high quality colorization results for still images.
机译:彩色化是一个术语,用于描述通过用具有饱和度,饱和度的三维色彩空间中的矢量替换存储在灰度图像的每个像素上的标量值的矢量,从而为黑白图片,电影或电视节目添加色彩的计算机化过程和色调或简单的RGB。由于不同的颜色可能带有相同的亮度值,但在色调和/或饱和度方面有所不同,因此着色问题本质上没有“正确”的解决方案。由于这些歧义,人与人之间的互动通常起着很大的作用。在本文中,我们提出了一种新颖的着色方法,该方法利用形态学距离转换,相邻像素强度的变化和梯度来在灰度图像中传播颜色。所提出的方法使用户无需对图像进行分割,因为简单地通过涂抹即可提供颜色,接下来便可以在图像内自动传播这些涂抹。该算法的有效性允许用户在提供颜色涂鸦后进行交互工作并迅速获得所需的结果。在本文中,我们证明了所提出的方法可以为静止图像提供高质量的着色结果。

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