文献类型：会议论文

英文题名：Virtual Color Restoration for Ancient Architecture by Color Transfer

作者：Zhang, Ziying[1]

第一作者：张子迎

机构：[1] College of Applied Arts and Science, Beijing Union University, Beijing, 100191, China

第一机构：北京联合大学应用文理学院

通讯机构：[1]College of Applied Arts and Science, Beijing Union University, Beijing, 100191, China|[114172]北京联合大学应用文理学院;[11417]北京联合大学;

会议论文集：Proceedings of International Conference on Image, Vision and Intelligent Systems, ICIVIS 2022

会议日期：August 15, 2022 - August 17, 2022

会议地点：Jinan, China

语种：英文

外文关键词：Clustering algorithms - Color matching - Image enhancement - RGB color model

摘要：Virtual color restoration is an important work to protect or exhibit decorative paintings on ancient architecture. This paper proposes a novel method of colorful pattern segmentation and color restoration for ancient architecture based on improve color transfer algorithm. First, a color image and a shape image are converted from the RGB to lαβ color space. Second, the color and shape images are segmented using the improved clustering algorithm of density-based GMM (Gauss mixture model). Third, the relations between the color and shape image regions are determined using the nearest region-matching algorithm to avoid the problem in which multiple areas are matched to the same region. Finally, color is transferred to the corresponding region in the shape image, and a merged image is obtained. Contrastive experimental results demonstrate that the proposed method can restore paintings of ancient architecture effectively more accurately and efficiently. ? 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.