局部特征在数字图像同源同源篡改取证中的应用研究

破损、锁屏、停用手机取证方法研究ABSTRACTWith the continuous development of computer and network technology,the userate of digital image resources is high.With the wide application of image media,various image requests and image processing technologies have been developingrapidly.Many image editing softwares have appeared.The image of homologoustampering has become quite easy,which leads to serious challenges to image security.Therefore,the relevant authentication technology for image information security hasbeen developed and developed rapidly.Cloning operation and stitching operation can be regarded as copies of originalimages in the same image or different images.We can consider the idea of localfeature copy detection to solve the detection problems of these two operations.Therefore,a blind forensics algorithm based on local feature copy detection isproposed in this paper.On the one hand,accurate features are extracted throughfeature fusion to ensure the accuracy of detection.On the other hand,the perceptionof Hashi based on machine learning maps the feature to compact Hashi code,whichimproves the efficiency of detection.But the prospect of massive digital image on the Internet propagation speed ofthe future,still need to continue to improve the digital image forensics technologyframework,explore the authenticity of digital image,research related to the use of theInternet user performance feedback method of digital image forensics help to improvethe blind forensics of digital image authenticity detection.Keywords:local features;digital images;homologous and homologous tampering;Forensics