盲画伪造检测

T. T. Dang, Azeddine Beghdadi, M. Larabi
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引用次数: 14

摘要

在我们的日常生活中越来越多地使用数字图像,以及强大的软件处理和编辑图像的可用性,对非法或未经授权的图像操纵提出了新的挑战。因此,必须对数字副本进行身份验证,验证其内容,并检测可能的伪造。在本文中,我们专注于检测一种特定类型的数字伪造,即使用来自同一图像的像素来删除对象。研究了涂层检测问题,提出了一种高效可靠的涂层检测方法。采用不同的补图技术对多幅补图进行了验证。
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Blind inpainting forgery detection
The increasingly use of digital images in our daily life and the availability of powerful software for processing and editing images, open new challenges regarding illegal or unauthorized image manipulation. Thus, it becomes essential to authenticate digital copies, validate their content, and detect possible forgeries. In this paper, we focus on detection of a specific type of digital forgery, inpainting, where an object is removed using pixels coming from the same image. The problem of inpainting detection is investigated and an efficient and reliable detection method is proposed. The performance of the proposed method is demonstrated on several inpainted images using different inpainting techniques.
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