@inproceedings{5ac98a29ebfe4d2aa6a4496d73835cec,
title = "Image Enlargement Using Repetitive Component Multiplication",
abstract = "Efficient and effective image enlargement without distortion attracts numerous interests these days. This paper presents an image enlargement system for images with repetitive components. Based on repetitive components and seam filling, our system achieves distortion-free visual effect. Our system captures and extracts the repetitive components by MSERs. After which, we got the repetitive component (RC) regions and non-repetitive component (NRC) regions. In order to deal with the different characteristics of these two regions, we intuitively incorporated two different algorithms: patch-based texture synthesis for RC regions and in painting for NRC regions. To achieve seamlessness filling, we lastly smooth the boundary between the filled regions and its surroundings by multi-resolution. Our system shows great success in enlarging image with repetitive components.",
author = "Zhengzhe Liu and Xiaojuan Qi and Bin Sheng and Wen Wu and Ping Li and Lizhuang Ma",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; International Conference on Virtual Reality and Visualization, ICVRV 2014 ; Conference date: 30-08-2014 Through 31-08-2014",
year = "2015",
month = sep,
day = "28",
doi = "10.1109/ICVRV.2014.9",
language = "英语",
series = "Proceedings - 2014 International Conference on Virtual Reality and Visualization, ICVRV 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "333--338",
editor = "Xukun Shen and Xiaopeng Zhang and Zhong Zhou and Guodong Zhang and Xun Luo",
booktitle = "Proceedings - 2014 International Conference on Virtual Reality and Visualization, ICVRV 2014",
address = "美国",
}