Performance evaluation for JPEG compression on model-based source camera identification

Performance evaluation for JPEG compression on model-based source camera identification

Focusing on JPEG images transferred by social platform and network media from actual forensic cases,quantities of simulation experiments were carried out to evaluate the performance of three typical methods of model-based source camera identification.The methods are based on the feature of interpola...

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Bibliographic Details
Main Authors: Bo WANG, Jian-feng YIN, Ya-bin LI
Format: Article
Language:English
Published: POSTS&TELECOM PRESS Co., LTD 2016-09-01
Series:网络与信息安全学报
Subjects:
model-based source camera identification
JPEG compression
color filter array
local binary pattern
image quality measures
wavelet transform
Online Access:http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2016.00100
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Summary:Focusing on JPEG images transferred by social platform and network media from actual forensic cases,quantities of simulation experiments were carried out to evaluate the performance of three typical methods of model-based source camera identification.The methods are based on the feature of interpolation coefficients of color filter array(CFA),local binary pattern(LBP),and image quality measurement(IQM)with high-order wavelet statis-tic features.The experiments demonstrate that the accuracy decreases rapidly with the compression quality of im-ages decreasing.As a result,methods of model-based source camera identification currently used are demanded bet-ter performance in practical scenes.
ISSN:2096-109X

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