IJFANS International Journal of Food and Nutritional Sciences

ISSN PRINT 2319 1775 Online 2320-7876

Image Forgery Detection Based on Fusion of Lightweight Deep Learning Methods

Main Article Content

M. SOUNDARYA LAHARI1, S. RAJENDER2

Abstract

In recent years, taking pictures has become really popular because we all have cameras. We use pictures in our everyday lives because they have a lot of information. Sometimes, we need to make pictures better to get more information from them. There are tools to make pictures better, but some people also use them to make fake pictures, which spreads false information. This makes the problem of fake pictures worse and happens a lot. People have made ways to find fake pictures over time. Recently, special computer programs called convolutional neural networks (CNNs) have become popular, and they are used to find fake pictures too. But most of these programs can only find one type of fake picture, like when you put two pictures together or copy part of a picture. So, we need a way to find all kinds of fake pictures quickly and accurately.

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