Abstract: Based on the analysis of information features and previous algorithm of the damaged Dunhuang Murals, an improved algorithm was proposed by combining the improved priority function with data fusion of Dempster-Shafer evidence theory and direct sampling model of Markov Random Field (MRF). The effectiveness of the proposed algorithm was verified by means of image completion and system simulation experiment.

Key words: Dunhuang Mural, DS evidence theory, data aggregation, priority computation

摘要： 对复杂破损的敦煌壁画自身信息特征及其修复算法进行分析，通过调整原有图像修复算法，给出了D-S证据理论数据融合改进优先权和基于马尔可夫随机场（MRF）模型直接采样相结合的图像修复算法。并通过修复及系统仿真实验证明该算法的有效性。

关键词: 敦煌壁画, D-S证据理论, 数据融合, 优先权计算