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Image composition with color harmonization

机译:色彩协调的图像合成

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摘要

Image composition is a very important technique in computer generated imagery (CGI). Besides some factors such as contrast, texture, noise that affect the quality of the composition, color harmony between fore- and background is also an important issue that should be carefully dealt with. However, in the previous image composition techniques, the color harmony between fore- and background is seldom considered. In this paper, an optimization method is presented to deal with the color harmonization problem that used in image composition. A cost function is derived from the observation of the local smoothness of the hue values. And the image is harmonized by minimizing the cost function. A new matching function is presented to select the best matching harmonic schemes, and a new component based pre-harmonization strategy is also presented to preserve the hue distribution of the harmonized images. Our approach overcomes several shortcomings of the existed color harmonization methods. We validate the performance of the method and demonstrate its effectiveness in a variety of experiments.
机译:图像合成是计算机生成图像(CGI)中非常重要的技术。除了诸如对比度,纹理,影响构图质量的噪声,前景色与背景色之间的和谐度之类的因素外,也是一个重要的问题,应谨慎处理。然而,在先前的图像合成技术中,很少考虑前和背景之间的颜色和谐。本文提出了一种优化方法来处理图像合成中使用的色彩协调问题。成本函数是从对色度值的局部平滑度的观察中得出的。并且通过最小化成本函数来协调图像。提出了一种新的匹配函数来选择最佳的匹配谐波方案,并提出了一种基于分量的新的预协调策略,以保持协调图像的色调分布。我们的方法克服了现有色彩协调方法的几个缺点。我们验证了该方法的性能,并在各种实验中证明了其有效性。

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