基於色彩相容性之影像逼真性評定與重新著色演算法

Abstract

在本論文中，我們呈獻的是一份關於色彩合成影像逼真性的研究。由於數位成像及通訊的高度發展，評定合成影像之逼真性已成為一個新的領域。然而，當製作合成影像時，使用者經常受其所插入的物體與背景兩者色彩不相容所苦。我們觀察到兩個特性可以使合成影像看起來逼真。第一個特性是關於影像中不同區塊之間的色彩相似性，而第二個特性則是關於影像中不同區塊之間的色偏差一致性。這兩個特性都只需要單張影像的資訊。基於以上兩特性，我們提出了一個影像逼真性評定演算法以及一個重新著色演算法。以下將說明其效果。

In this paper, we present a study of the realism of color image composites. Assessing the realism of image composites has emerged as a new field of image processing due to the advances in digital imaging and communications. However, when making image composites, users often suffer from color incompatibility between the inserted object and the background. We observe two properties that help make an image composite look realistic. The first property is related to the color similarity between different segments of the image, and the second one is related to the consistency of color deviation between the segments. These two properties only require information available from a single image. An algorithm based on these two properties is proposed for assessment of image realism, and another algorithm is proposed for image composition re-coloring. Effectiveness of the algorithm is demonstrated.