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Image Forensics

delete2019-09-15
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H
Hany Farid *
DOI:10.1146/annurev-vision-091718-014827delete
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Abstract

Abstract

En 中文
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.
Keywords:
image forensics
image manipulation
image authentication
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

A
Annual Review of Vision Science
IF:
5.5
Papers:
0
Citations:
1

Organization

University of California System cover
University of California System
Scholars:
37.2W
Papers: 33.6W
Citations: 6.6K