基於色彩相容性之影像逼真性評定與重新著色演算法

Realism Assessment of Color Compatibility and Re-coloring Using a Single Image

翁秉義(Bing-Yi Wong)

指導教授 ： 陳宏銘

國立臺灣大學/電機資訊學院/電信工程學研究所/碩士(2009年)

https://doi.org/10.6342/NTU.2009.00409

摘要

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。

關鍵字

影像合成 ； 影像逼真性 ； 色彩相容性 ； 色偏差 ； 影像重新著色

並列摘要

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.

並列關鍵字

Image composition ； image realism ； color compatibility ； color deviation ； image re-coloring

參考文獻

[6] I. Omer and M. Werman, “Color-Lines: Image Specific Color Representation,” in Proc. IEEE Conference on Computer Vision and Pattern Recognition, Pages:II-946 – II-953, 2004.

[7] F. Cutzu, R. Hammoud, A. Leykin, “Estimating the Photorealism of Images: Distinguishing Paintings from Photographs,” in Proc. IEEE Conference on Computer Vision and Pattern Recognition, Pages:II-305 – II-312, 2003.

[8] A. P. Bradley, “The use of the area under the ROC curve in the evaluation of machine learning algorithms,” Pattern Recognition, Vol. 30, No. 7, 1997.

[9] C.-C. Chang and C.-J. Lin, “LIBSVM: A Library for Support Vector Machines”, 2001. Software available at http://www.csie.ntu.edu.tw/~cjlin/libsvm.

[12] M. Tokumaru, N. Muranaka, and S. Imanishi., “Color design support system considering color harmony,” in Proc. IEEE International Conference on Fuzzy Systems, Pages:378–383, 2002.