Restoring Degraded Face Images: A Case Study in Matching Faxed, Printed, and Scanned Photos

被引：27

作者：

Bourlai, Thirimachos ^{[1
]}

Ross, Arun ^{[1
]}

Jain, Anil K. ^{[2
,3
]}

机构：

[1] W Virginia Univ, Lane Dept Comp Sci & Elect Engn, Morgantown, WV 26506 USA

[2] Michigan State Univ, Comp Sci & Engn Dept, E Lansing, MI 48824 USA

[3] Korea Univ, Dept Brain & Cognit Engn, Seoul 136713, South Korea

来源：

IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY | 2011年 / 6卷 / 02期

关键词：

Face recognition; faxed face images; image quality measures; image restoration; scanned face images; RECOGNITION; EIGENFACES; ALGORITHM;

D O I：

10.1109/TIFS.2011.2109951

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

We study the problem of restoring severely degraded face images such as images scanned from passport photos or images subjected to fax compression, downscaling, and printing. The purpose of this paper is to illustrate the complexity of face recognition in such realistic scenarios and to provide a viable solution to it. The contributions of this work are two-fold. First, a database of face images is assembled and used to illustrate the challenges associated with matching severely degraded face images. Second, a preprocessing scheme with low computational complexity is developed in order to eliminate the noise present in degraded images and restore their quality. An extensive experimental study is performed to establish that the proposed restoration scheme improves the quality of the ensuing face images while simultaneously improving the performance of face matching.

引用

页码：371 / 384

页数：14

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