文章基本信息

标题：A computationally inexpensive way to detect and perform segmentation on morphed images using CNN
本地全文：下载
作者：Neeraj Kumar ; Divya Singh ; Himja Uppal 等
期刊名称：International Journal of Advances in Engineering and Management
电子版ISSN：2395-5252
出版年度：2021
卷号：3
期号：6
页码：904-908
DOI：10.35629/5252-0306732747
语种：English
出版社：IJAEM JOURNAL
摘要：In the last few years, the amount of image data generated by the use of image (and video) processing software such as GNU Gimp, Adobe Photoshop has increased enormously as social networking sites such as Facebook and Instagram have come into force. Such photos are key sources of fake news to propagate radical ideologies, swing public opinion and misused for incitement by the crowd. Being able to solve such a problem and integrating that solution to the social media websites might be able to save the people from becoming a victim of mis-information and propaganda. In this paper we propose a way to detect tampered/morphed images on social media and generate a binary mask of the tampered region using computationally inexpensive pre-processing algorithms and convolutional neural networks.
关键词：CNN;Tampered Images;Classification;Segmentation;Fake Images