@inproceedings{121719ede189424fa70f1ea860068e8f,
title = "Image inpainting with adaptive linear predictor",
abstract = "In this paper, a novel examplar-based inpainting algorithm with adaptive linear predictor is proposed. The patches in the damaged region are sequentially estimated with a linear combination of several nearest neighboring patches. The number of candidate patch is automatically tuned to local contexts based on Bayesian Information Criterion (BIC). The flexibility of the order-adaptive predictor makes the proposed algorithm suitable for both structural regions and detailed textures. The multi-scale framework and a novel propagation order are also involved to further improve the inpainting performance. Compared to the state-of-the-art image inpainting algorithms, experimental results show that the proposed method gives comparative or better performance.",
keywords = "adaptive linear prediction, Bayesian Information Criterion, Image inpainting",
author = "Jing Liu and Guangtao Zhai and Xiaokang Yang and Chen, \{Chang Wen\}",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE International Conference on Multimedia and Expo, ICME 2015 ; Conference date: 29-06-2015 Through 03-07-2015",
year = "2015",
month = aug,
day = "4",
doi = "10.1109/ICME.2015.7177507",
language = "English",
series = "Proceedings - IEEE International Conference on Multimedia and Expo",
publisher = "IEEE Computer Society",
booktitle = "2015 IEEE International Conference on Multimedia and Expo, ICME 2015",
address = "United States",
}