Image completion using prediction concept via support vector regression

被引：2
|
作者：
Shih, Cho-Wei [1 ]
Lai, Tsung-Hsuan [1 ]
Chu, Hui-Chuan [2 ]
Chen, Yuh-Min [1 ]
机构：
[1] Natl Cheng Kung Univ, Inst Mfg Informat & Syst, Tainan 70101, Taiwan
[2] Nation Univ Tainan, Dept Special Educ, Tainan, Taiwan
来源：
MACHINE VISION AND APPLICATIONS | 2013年 / 24卷 / 04期
关键词：
Image completion; Support vector regression; Structure prediction; Image inpainting; OBJECT REMOVAL;
D O I：
10.1007/s00138-012-0438-0
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Image completion is a widely used method for automatically removing objects or repairing the damaged portions of an image. However, information of the original image is often lacking in reconstructed structures; therefore, images with complex structures are difficult to restore. This study proposes a prediction-oriented image completion mechanism (PICM), which applies the prediction concept to image completion using numerous techniques and methods. The experiment results indicate that under normal circumstances, our PICM not only produces good inpainting quality but it is also easy to use.
引用
收藏
页码：753 / 768
页数：16
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