Forgery Detection using Forward Quantization Noise method

Authors

  • Satish Pratapur, Shubangi D C

Abstract

In this work, the presence of forgery was detected using the forward quantization noise method. Required threshold to achieve maximum sensitivity, specificity and precision was derived for JPEG images. Seam carving dataset with a quality factor of 75% was used in order to demonstrate the method. The threshold was varied from 0.005 to 0.0005 and the corresponding maximum sensitivity, specificity and precision were estimated. It has been demonstrated that a threshold of 0.0005 yields that highest maximum sensitivity, specificity and precision.

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Published

2020-05-17

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Section

Articles