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  • 标题:Exposing Digital Forgery Detection by Illumination Using SVM classifier
  • 本地全文:下载
  • 作者:P.Sreedevi ; Dr.S.Karthik
  • 期刊名称:International Journal of Innovative Research in Science, Engineering and Technology
  • 印刷版ISSN:2347-6710
  • 电子版ISSN:2319-8753
  • 出版年度:2014
  • 期号:ICETS
  • 页码:326
  • 出版社:S&S Publications
  • 摘要:Photographs often act as evidence forcriminals cases in courts. It also plays a vital role inmedia such as newspapers, television, etc. Buthowever, image forgery becomes easier nowadays asimage editing software becomes available. Here weanalyze the often utilized manipulation techniquecalled splicing or image composition. Physics-basedand statistical-based illuminate estimation techniqueis incorporated so that texture- and edge-basedfeatures are extracted to identify image forgery.Machine-learning approach is also employed; hencerequires minimal human interaction.
  • 关键词:illumination estimation; splicing; machine;learning approach and human interaction
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