收稿日期: 2016-09-28
修回日期: 2017-01-01
网络出版日期: 2017-09-30
基金资助
国家自然科学基金（No.61370195，No.U1536121）资助
Detection of Smoothing Region Tampering Based on Feature Enhancement
Received date: 2016-09-28
Revised date: 2017-01-01
Online published: 2017-09-30
张伟伟, 杨正洪, 韩洪立, 王珺斌, 牛少彰 . 特征增强的平滑区域篡改检测算法[J]. 应用科学学报, 2017 , 35(5) : 537 -544 . DOI: 10.3969/j.issn.0255-8297.2017.05.001
An algorithm for forgery detection based on outline feature enhancement is proposed to remove tampered areas in an image. The image to be detected is frst divided into blocks of sliding-windows. Binary outline features are extracted from every block. The extracted outline sequences are ranked in an alphabetic order. By matching the outline sequences, tampered regions are identifed. Experiment results show that the proposed algorithm can effectively detect tampering traces in smooth image regions, even from images after JPEG compression with low quality factors.
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