| 一种新的基于邻近像素点的图像修复算法 |
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| 引用本文： | 檀结庆,汪忠庆.一种新的基于邻近像素点的图像修复算法[J].合肥工业大学学报(自然科学版),2006,29(9):1072-1076. |
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| 作者姓名： | 檀结庆 汪忠庆 |
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| 作者单位： | 1. 合肥工业大学,理学院,安徽,合肥,230009
2. 合肥工业大学,计算机与信息学院,安徽,合肥,230009 |
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| 基金项目： | 国家自然科学基金资助项目(10171026)，国家自然科学基金资助项目(60473114)，安徽省教育厅创新团队基金资助项目(2005TD03) |
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| 摘 要： | 图像修复的基本方法主要有两类:纹理合成的方法和基于偏微分方程的方法,但这些修复算法较难理解和实现。该文通过定义修复区域内像素点的优先度,提出了一种基于图像邻近像素的图像修复算法;该算法不需要大量的纹理匹配计算和复杂的偏微分方程求解,易于理解和实现。
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| 关 键 词： | 图像修复 图像恢复 物体去除 邻近像素 填充 |
| 文章编号： | 1003-5060(2006)09-1072-05 |
| 修稿时间： | 2005年9月13日 |
A novel image inpainting algorithm based on adjacent pixels |
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| TAN Jie-qing,WANG Zhong-qing.A novel image inpainting algorithm based on adjacent pixels[J].Journal of Hefei University of Technology(Natural Science),2006,29(9):1072-1076. |
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| Authors: | TAN Jie-qing WANG Zhong-qing |
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| Abstract: | The current methods for image inpainting mainly include "texture synthesis" algorithms and the algorithms based on partial differential equations(PDEs),which are either difficult to understand or complicated to implement.In this paper,by defining the priority of inpainted points,an image inpainting algorithm based on adjacent pixels of the points is presented.The presented algorithm avoids both the expensive computation of texture matching and the time-consuming solving of complicated PDEs,and therefore is easy to understand and implement. |
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| Keywords: | image inpainting image restoration object removal adjacent pixel filling-in |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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