| 基于D-S证据理论的图像修复算法 |
| |
| 引用本文： | 徐永胜,王书文,李向群.基于D-S证据理论的图像修复算法[J].计算机工程,2010,36(19):222-223,226. |
| |
| 作者姓名： | 徐永胜 王书文 李向群 |
| |
| 作者单位： | 西北民族大学电气工程学院,兰州,730030 |
| |
| 基金项目： | 国家自然科学基金资助项目，甘肃省科技攻关计划基金资助项目 |
| |
| 摘 要： | 图像的修复质量容易受到待修复区域边界上修复顺序的影响。针对该问题，提出一种基于D-S证据理论的图像修复算法。通过分析待修复区域像素点所在模块周围的图像特征，考虑图像修复优先级计算中纹理特征和结构特征各自所占的比重问题，采用D-S证据理论改进修复算法的优先级计算。实验结果表明，该算法能有效提高图像的修复效果。
|
| 关 键 词： | 图像修复 优先级计算 D-S证据理论 |
Image Inpainting Algorithm Based on D-S Evidence Theory |
| |
| XU Yong-sheng,WANG Shu-wen,LI Xiang-qun.Image Inpainting Algorithm Based on D-S Evidence Theory[J].Computer Engineering,2010,36(19):222-223,226. |
| |
| Authors: | XU Yong-sheng WANG Shu-wen LI Xiang-qun |
| |
| Affiliation: | (College of Electrical Engineering, Northwest University for Nationalities, Lanzhou 730030, China) |
| |
| Abstract: | As the quality of the repaired image is significantly influenced by the filling order of the boundary pixels,this paper tries to compute priority to improve the exemplar-based algorithm by means of D-S evidence theory,according to analyzing the pixel＇s surrounding image features and taking into account the proportion of the image texture features and structural characteristics.Experimental results of the algorithm is given and proved to be effective in increasing the repaired image＇s vision quality. |
| |
| Keywords: | image inpainting priority computation D-S evidence theory |
| 本文献已被 维普 万方数据 等数据库收录！ |
| 点击此处可从《计算机工程》浏览原始摘要信息 |
|
点击此处可从《计算机工程》下载全文 |
|
