特征增强的平滑区域篡改检测算法

doi:10.3969/j.issn.0255-8297.2017.05.001

Journal of Applied Sciences ›› 2017, Vol. 35 ›› Issue (5): 537-544.doi: 10.3969/j.issn.0255-8297.2017.05.001

• Selected Papers Presented at 2016 Congress of Computer Applications, China • Previous Articles Next Articles

Detection of Smoothing Region Tampering Based on Feature Enhancement

ZHANG Wei-wei¹, YANG Zheng-hong¹, HAN Hong-li², WANG Jun-bin¹, NIU Shao-zhang²

1. College of Science, China Agricultural University, Beijing 100083, China;
2. Beijing Key Lab of Intelligent Telecommunication Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing 100876, China

Received:2016-09-28 Revised:2017-01-01 Online:2017-09-30 Published:2017-09-30

Abstract

Abstract:

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.

Key words: scale-invariant feature transform (SIFT), flat regions, outline feature enhancement, forgery detection, binary image

CLC Number:

TP391.4

ZHANG Wei-wei, YANG Zheng-hong, HAN Hong-li, WANG Jun-bin, NIU Shao-zhang. Detection of Smoothing Region Tampering Based on Feature Enhancement[J]. Journal of Applied Sciences, 2017, 35(5): 537-544.

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Detection of Smoothing Region Tampering Based on Feature Enhancement

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