Transferring color to greyscale images

Tom Welsh, M. Ashikhmin, K. Mueller
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引用次数: 890

Abstract

We introduce a general technique for "colorizing" greyscale images by transferring color between a source, color image and a destination, greyscale image. Although the general problem of adding chromatic values to a greyscale image has no exact, objective solution, the current approach attempts to provide a method to help minimize the amount of human labor required for this task. Rather than choosing RGB colors from a palette to color individual components, we transfer the entire color "mood" of the source to the target image by matching luminance and texture information between the images. We choose to transfer only chromatic information and retain the original luminance values of the target image. Further, the procedure is enhanced by allowing the user to match areas of the two images with rectangular swatches. We show that this simple technique can be successfully applied to a variety of images and video, provided that texture and luminance are sufficiently distinct. The images generated demonstrate the potential and utility of our technique in a diverse set of application domains.
将颜色转移到灰度图像
我们介绍了一种通过在源图像(彩色图像)和目标图像(灰度图像)之间传递颜色来“着色”灰度图像的一般技术。虽然在灰度图像中添加色彩值的一般问题没有精确、客观的解决方案,但目前的方法试图提供一种方法来帮助减少完成这项任务所需的人力。我们不是从调色板中选择RGB颜色来为单个组件上色,而是通过在图像之间匹配亮度和纹理信息,将源的整个颜色“情绪”转移到目标图像。我们选择仅传递色度信息并保留目标图像的原始亮度值。此外,通过允许用户将两个图像的区域与矩形样本相匹配,该过程得到了增强。我们表明,这种简单的技术可以成功地应用于各种图像和视频,只要纹理和亮度足够明显。生成的图像展示了我们的技术在各种应用程序领域中的潜力和实用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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