| FA-Criminisi快速图像修复 |
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| 引用本文： | 李尊,吴谨,刘劲,吴秋红.FA-Criminisi快速图像修复[J].液晶与显示,2015,30(2):353-358. |
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| 作者姓名： | 李尊 吴谨 刘劲 吴秋红 |
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| 作者单位： | 武汉科技大学 信息科学与工程学院, 湖北 武汉 430081 |
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| 基金项目： | 湖北省自然科学基金(No.2013CFB333);高等学校博士学科点专项科研基金(No.20124219120002);湖北省教育厅科研计划(No.Q20131110);武汉科技大学大学生创新基金(No.14ZRC146) |
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| 摘 要： | 在经典Criminisi图像修复算法框架的基础上,针对优先权可靠性低和全局搜索最佳模板效率低、错误匹配率大的缺点进行改进。改进的算法为基于萤火虫算法(FA)的快速Criminisi图像修复算法。首先从数学的角度引入正规化函数至置信度,以此提升优先权计算的可靠性;然后引入FA到最佳模板的搜索与填充中,能够有效地将全局搜索与局部搜索有效地结合,鲁棒性较高,提高效率且错误匹配率低。实验结果表明:采用本文的改进算法能在保证修复质量的基础上降低时耗,提高效率。
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| 关 键 词： | Criminisi算法 优先权 最佳匹配模板 FA |
| 收稿时间： | 2014/6/4 |
Fast Criminisi image inpainting based on firefly algorithm |
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| LI Zun;WU Jin;LIU Jin;WU Qiu-hong.Fast Criminisi image inpainting based on firefly algorithm[J].Chinese Journal of Liquid Crystals and Displays,2015,30(2):353-358. |
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| Authors: | LI Zun;WU Jin;LIU Jin;WU Qiu-hong |
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| Affiliation: | College of Information Science and Technology, Wuhan University of Science and Techology, Wuhan 430081, China |
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| Abstract: | On the basis of Criminisi algorithmic framework, a fast Criminisi image inpainting based on firefly algorithm(FA) is proposed for the deficiencies of the priority and the best match template. Firstly, normalization function is introduced to the confidence to improve the reliability of the priority. Then, in order to improve and reduce error rate, FA which can combines global search and local search effectively is introduced to search the best template. Experimental results show that on the basis of guarantee the quality of image inpaiting, the improved algorithm can reduce the cost and improve efficiency. |
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| Keywords: | Criminisi algorithm the priority the best template FA |
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