Face Hallucination Based on Independent Residual Features

摘要：

A face hallucination scheme based on independent residual features (IRFs) is proposed in this paper. In the proposed scheme, a high-resolution (HR) face image is assumed as composition of two parts: an approximate and a residual image, where the approximate image is obtained by interpolating the corresponding low-resolution (LR) face image. According to this assumption, a residual image training database is established based on a set of training HR face images and their corresponding LR ones. And independent component analysis is used to extract IRFs from this established database. With constructing a cost function of least square, the IRFs are used to derive the corresponding residual image from any given LR face image and an expected HR one can be rendered. Experiments show the proposed scheme can effectively improve the resolution of a face image, on matter whether the face image belongs to the training face image set or not, under different light conditions.

关键词： hallucination independent residual feature (IRF) independent component analysis (ICA)

作者: Hua Yan Jiande Sun Lina Du

作者单位: School of Computer Science and Technology, Shandong University, Jinan, China School of Computer Scie School of Information Science and Engineering, Shandong University, Jinan, China School of Computer Science and Technology, Shandong Economic University, Jinan, China

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: 1074-1077

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）