Nonlinear Approximated Regression of Holistic Feature for Copy Move Forgery Detection

Punam Sunil Raskar , Sanjeevani K. Shah

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

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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 http://sersc.org/journals/index.php/IJAST/article/view/17836

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Issue

Vol. 29 No. 9s (2020): Vol. 29 No. 9s (2020) Special Issue

Section

Articles