Applying support vector regression to predict structure in image completion

Tzung Shiuan Lai, Cho Wei Shin, Hui Chuan Chu, Yuh Min Chen, Chin Bin Wang

研究成果: Conference contribution

摘要

Image completion is a technique widely used that automatically removes objects or repairs damaged portions of image. However, information regarding the original image is often lacking in structure reconstruction, and as a result, images with complex structures are difficult to restore. This study proposed a support vector regression-oriented image completion (SVR-IC) method, the goal of which is to predict the original structure of unknown areas and then repair or make appropriate adjustments to the structure and texture of the damaged area. From the experimental results, SVR-IC produced images of good quality that were superior to those of other methods. The results show that integrated structure prediction to image completion can effectively enhance the quality of the restored image.

原文English
主出版物標題Proceedings of the 2011 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2011
頁面659-665
頁數7
出版狀態Published - 2011 十二月 1
事件2011 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2011 - Las Vegas, NV, United States
持續時間: 2011 七月 182011 七月 21

出版系列

名字Proceedings of the 2011 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2011
2

Other

Other2011 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2011
國家United States
城市Las Vegas, NV
期間11-07-1811-07-21

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition

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