Fast Exemplar-Based Image Inpainting Approach
发布时间：2024-08-09
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- 所属单位：
- 信息与控制工程学院
- 发表刊物：
- the International Conference of Machine Learning and Cybernetics
- 关键字：
- 中文关键字：基于样本块修复；填充前缘更新；减少源区；修复效率，英文关键字：exemplar-based inpainting; fill front update; redu
- 摘要：
- This paper presents a way to improve the computation efficiency of exemplar-based inpainting approach in [4]. Note that the inpainting approach in [4] has computation redundancy in searching optimal patches in source region and updating fill front. A scheme to reduce source region and a modified scheme to update fill front are proposed. With the two schemes, better computation efficiency is expected. Several examples are given to justify the proposed fast inpainting approach and used to compare with the approach in [4]. The results indicate that the proposed approach has better computation efficiency than the approach in [4], as expected. Interesting enough, better visual quality of inpainted images is achieved by the proposed approach as well.
- 备注：
- 王慧琴
- 合写作者：
- 陈卿
- 第一作者：
- 王慧琴
- 论文类型：
- 期刊论文
- 卷号：
- 卷：
- 期号：
- 期：
- 页面范围：
- 页：
- 是否译文：
- 否
- 发表时间：
- 2012-12-01
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