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Cognitive Science and Technology ; : 757-773, 2022.
Article in English | Scopus | ID: covidwho-2120748

ABSTRACT

With advancements in technology and image processing software, digital image forgery has become increasingly simple. However, because digital images, such as COVID-19 reports, are a common source of information, the authenticity of these digital reports has become a big concern. In recent days, it has been discovered that an increasing number of academics have begun to focus on the issue of digital report manipulation. A new deep learning-based digital picture forgery detection solution has been acquired. The mechanism is intended to ensure that the COVID-19 report on health care has not been amended or tampered with. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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