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Image features dependant correlation-weighting function for efficient PRNU based source camera identification

  • Published:2018-04 Issue: Volume:285 Page:111-120
  • ISSN:0379-0738
  • Container-title:Forensic Science International
  • language:en
  • Short-container-title:Forensic Science International

Author:

Tiwari MayankORCID,Gupta Bhupendra

Publisher

Elsevier BV

Subject

Pathology and Forensic Medicine,Law

Reference29 articles.

1. Digital ‘bullet scratches’ for images;Lukas,2005

2. Digital camera identification from sensor pattern noise;Lukas;IEEE Trans. Inf. Forensics Secur.,2006

3. Digital imaging sensor identification (further study);Chen;Proc. SPIE 6505, January 2007,2007

4. Determining image origin and integrity using sensor noise;Chen;IEEE Trans. Inf. Forensics Secur.,2008

5. Enhancing source camera identification performance with a camera reference phase sensor pattern noise;Kang;IEEE Trans. Inf. Forensics Secur.,2012

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1. Source Camera Linking Algorithm Based on the Analysis of Plain Image Zones;CIEES 2023;2024-01-11

2. Radon transform of image monotonic rearrangements as feature for noise sensor signature;Applied Mathematics and Computation;2023-11

3. Remarks on Speeding up the Digital Camera Identification using Convolutional Neural Networks;Vietnam Journal of Computer Science;2023-09-14

4. An Auto-Encoder Based Method for Camera Fingerprint Compression;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04

5. A novel image dataset for source camera identification and image based recognition systems;Multimedia Tools and Applications;2022-06-17
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