Source Camera Identification Using SPN with PRNU

  • Tanaya Salunke
  • Pratik Bhavsar
  • Shubham Bodhe


Retrieving photos from massive collections consistent with a particular criterion is a progressively relevant task. A vital, but up to now unnoticed, such criterion is that the retrieval of images nonheritable by a particular camera. Content based image retrieval could also be an ancient approach for retrieving pictures. The foremost vital task is that the retrieval of images matching specific criterion. A significant but to this point unmarked, such criterion is that the retrieval of pictures captured by a particular camera device. Photo Response Non-Uniformity (PRNU) of the camera device is utilized to retrieve image taken by specific camera.  Sensing component  imperfections  in  the kind  of photo  response  non -uniformity  (PRNU) patterns unit a good procedure technique to link footage to the camera sensors that nonheritable them. As PRNU pattern have constant size as imaging sensor, huge scale image retrieval could be a terribly tough task. In our planned work PRNU Extraction is finished by Simplified total variation rule as shown in paper. To influence retrieving on huge scale PRNU pattern is compressed exploitation Random Projection.  A  system includes  four parts travel photos  from web,  Extracting  PRNU  from photos,  Compression  of  PRNU  fingerprints,  and  fingerprint matching.  A performance of system is analysed on Dresden image info.  A result shows that planned approach is comparatively quicker than state of art methodology.
How to Cite
SALUNKE, Tanaya; BHAVSAR, Pratik; BODHE, Shubham. Source Camera Identification Using SPN with PRNU. International Journal Of Emerging Technology and Computer Science, [S.l.], v. 4, n. 2, p. 61-65, june 2019. ISSN 2455-9954. Available at: <>. Date accessed: 31 may 2020.