Study on Deep Learning Based Techniques for Image Tamper Detection

  • Unique Paper ID: 154512
  • Volume: 8
  • Issue: 11
  • PageNo: 368-375
  • Abstract:
  • Photographs are the foremost powerful and trustworthy media of expression. At present, digital images not only give forged information but also work as agents of secret communication. Users and editing professionals manipulate digital images with various objectives. Scientists and researchers manipulate images for his or her work to urge published; medical images are tampered to misrepresent the patients’ diagnostics, journalists use the trick for creating and giving dramatic effect to their stories, politicians, lawyers, forensic investigators use tampered images to direct the opinion of people, court, or law to their favor then on. Hence, distinguishing the primary images from faked lots and establishing the authenticity of digital photographs has gained much importance in recent times. The objective of this study is to understand different techniques to detect image tampering using Deep Learning.

Cite This Article

  • ISSN: 2349-6002
  • Volume: 8
  • Issue: 11
  • PageNo: 368-375

Study on Deep Learning Based Techniques for Image Tamper Detection

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