TY - GEN
T1 - Applying support vector regression to predict structure in image completion
AU - Lai, Tzung Shiuan
AU - Shin, Cho Wei
AU - Chu, Hui Chuan
AU - Chen, Yuh Min
AU - Wang, Chin Bin
PY - 2011/12/1
Y1 - 2011/12/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84864915868&partnerID=8YFLogxK
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M3 - Conference contribution
AN - SCOPUS:84864915868
SN - 9781601321916
T3 - Proceedings of the 2011 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2011
SP - 659
EP - 665
BT - Proceedings of the 2011 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2011
T2 - 2011 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2011
Y2 - 18 July 2011 through 21 July 2011
ER -