Analysis on Feasible Methods of Digital Image Tampering Detection

Authors

  • Wang Wei
  • Tang Bin

DOI:

https://doi.org/10.54097/hset.v44i.7386

Keywords:

Digital images; tamper detection; blind forensics.

Abstract

In order to solve the problem of image tampering detection in the blind forensics of digital images, this study first researches and summarizes the means and methods of image tampering and forgery, and provides suggestions for methods of tampering detection using open source tools for the methods that may be used for falsification. These methods have been publicly tested by open source companies for a long time, which proves their feasibility. The methods and conclusions suggested by the research can be used in the "falsification" application of pictures in many fields, and have certain academic value and social value.

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References

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Yang Xuewei and Xing Guanyu. A digital image forgery detection algorithm based on outdoor illumination estimation [J]. Modern Computer, 2020 (03): 69-72 +78.

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NitinKumarl,PadmeshNaik, NikhilRaina,DeepaliKayande.Image Forgery: Detection of Manipulated Images Using Neural Network. Proceedings of the International Conference on Recent Advances in Computational Techniques (IC-RACT) 2020.

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Published

13-04-2023