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Image Forensics.
- Source :
-
Annual review of vision science [Annu Rev Vis Sci] 2019 Sep 15; Vol. 5, pp. 549-573. - Publication Year :
- 2019
-
Abstract
- 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.
Details
- Language :
- English
- ISSN :
- 2374-4650
- Volume :
- 5
- Database :
- MEDLINE
- Journal :
- Annual review of vision science
- Publication Type :
- Academic Journal
- Accession number :
- 31525144
- Full Text :
- https://doi.org/10.1146/annurev-vision-091718-014827