图像取证。

IF 5 2区医学 Q1 NEUROSCIENCES

Annual Review of Vision Science Pub Date : 2019-09-15 DOI:10.1146/annurev-vision-091718-014827

Hany Farid

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引用次数: 1

摘要

从主流媒体到社交媒体，以及介于两者之间的一切，篡改过的照片正以越来越频繁和复杂的方式出现。由此产生的信任缺失正在影响执法、国家安全、媒体、电子商务等。虽然通过仔细的视觉检查可以检测到某些类型的操作，但我们的视觉系统似乎无法可靠地检测到其他类型的操作。图像取证领域的出现有助于恢复人们对摄影的一些信任。我描述了检测操纵图像的感知极限，以及用于认证图像的计算技术的代表性示例。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Image Forensics.

From mainstream media outlets to social media and everything in between, doctored photographs are appearing with growing frequency and sophistication. The resulting lack of trust is impacting law enforcement, national security, the media, e-commerce, and more. While some types of manipulations can be detected with a careful visual examination, our visual system seems unable to reliably detect other types of manipulations. The field of image forensics has emerged to help return some trust in photography. I describe the perceptual limits of detecting manipulated images, as well as representative examples of computational techniques for authenticating images.

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来源期刊

Annual Review of Vision Science Medicine-Ophthalmology

CiteScore

11.10

自引率

1.70%

发文量

期刊介绍： The Annual Review of Vision Science reviews progress in the visual sciences, a cross-cutting set of disciplines which intersect psychology, neuroscience, computer science, cell biology and genetics, and clinical medicine. The journal covers a broad range of topics and techniques, including optics, retina, central visual processing, visual perception, eye movements, visual development, vision models, computer vision, and the mechanisms of visual disease, dysfunction, and sight restoration. The study of vision is central to progress in many areas of science, and this new journal will explore and expose the connections that link it to biology, behavior, computation, engineering, and medicine.