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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着色算法

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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. In 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:彩色是用于描述通过用亮度,饱和度的三维颜色空间中的矢量将存储在灰度图像的每个像素上的标量值添加颜色到黑白图片,电影或电视节目的计算机化过程的术语。和Hue或简单的RGB。由于不同颜色可以携带相同的亮度值,但在色调和/或饱和度中变化,因此着色的问题没有固有地“正确”解决方案。由于这些含糊不点,人类的互动通常发挥着大的作用。本文介绍了一种新颖的色彩方法,该方法利用形态距离变换,相邻像素强度和梯度的变化在灰度图像内传播颜色。所提出的方法将释放分割图像的用户,因为简单地通过涂鸦自动在图像内自动传播的涂鸦来提供颜色。算法的有效性允许用户以交互方式协同工作,并在提供颜色涂鸦之后迅速获得所需的结果。在本文中,我们表明该方法允许静止图像的高质量着色结果。

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