Hallucination of Super-Resolved Face Images

摘要：

Reconstruction-based super-resolution algorithms are widely employed for enhancing the quality of low-resolution face images. However, these algorithms are very sensitive to the registration errors of their input images. The registration errors aggravate when working with face images coming from video sequences. The longer the video the bigger is the registration error (due to the motion of the subject). Furthermore, the improvement factor of these algorithms is limited by factors smaller than two. The proposed system in this paper deals with these two problems. In order to restrict the registration errors of the system a fuzzy-based face quality assessment is employed. To cope with the second problem, a hierarchy of different types of super-resolution algorithms is used to reach an improvement factor of four. The proposed system has been tested using real video sequences of different longs and the experimental results are promising.

关键词： super-resolution face hallucination face-log

作者: Kamal Nasrollahi Thomas B.Moeslund

作者单位: Computer Vision & Media Technology Lab, Aalborg University, Aalborg, Denmark

会议类型: 国际会议

会议名称: 2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)

会议地点: 北京

会议语种:英文

页码: 641-644

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）