Nonlinear Approximated Regression of Holistic Feature for Copy Move Forgery Detection

  • Punam Sunil Raskar , Sanjeevani K. Shah

Abstract

Due to advance operational editors, digital images and videos can be tampered very easily. These forged/fake images and videos communicated across the world through various apps over social media

Published
2020-05-20
How to Cite
Punam Sunil Raskar , Sanjeevani K. Shah. (2020). Nonlinear Approximated Regression of Holistic Feature for Copy Move Forgery Detection. International Journal of Advanced Science and Technology, 29(9s), 5199 - 5206. Retrieved from https://sersc.org/journals/index.php/IJAST/article/view/17836