Abstract The manipulation of digital images has become very common in recent years. Thus, it is possible to cut, clone, and resize an image very quickly, which makes it challenging to validate the integrity and authenticity of images. Furthermore, digital images can be used by forensic experts in their forensic investigations. In this context, digital image forensics (DIF) has emerged as an essential area of expertise focused on verifying the authenticity and integrity of digital files. This paper presents a literature review of DIF, covering active and passive methods as well as those based on deep learning, and our work presents a vast and updated set of references synthesized in textual, tabular, and graphic form.

中文翻译：

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数字图像取证综述

摘要 近年来，数字图像的处理变得非常普遍。因此，可以非常快速地剪切、克隆和调整图像大小，这使得验证图像的完整性和真实性变得具有挑战性。此外，法医专家可以在法医调查中使用数字图像。在这种情况下，数字图像取证 (DIF) 已成为一个重要的专业领域，专注于验证数字文件的真实性和完整性。本文介绍了 DIF 的文献综述，涵盖了主动和被动方法以及基于深度学习的方法，我们的工作提供了大量以文本、表格和图形形式合成的最新参考文献。