Chinese Journal of Network and Information Security ›› 2016, Vol. 2 ›› Issue (9): 65-71.doi: 10.11959/j.issn.2096-109x.2016.00100

• academic paper • Previous Articles     Next Articles

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

Bo WANG(),Jian-feng YIN,Ya-bin LI   

  1. School of Information and Communication Engineering,Dalian University of Technology,Dalian 116024,China
  • Revised:2016-08-19 Online:2016-09-15 Published:2020-03-26
  • Supported by:
    The National Natural Science Foundation of China(61502076);Scientific Research Foundation of the Education Department of Liaoning Province(L2015114)

Abstract:

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.

Key words: model-based source camera identification, JPEG compression, color filter array, local binary pattern, image quality measures, wavelet transform

CLC Number: 

No Suggested Reading articles found!