# Digital Media Forensic Detection

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/digital-media-forensic-detection-2/

## Facts

| Field | Value |
| --- | --- |
| Citations | 269,643 |
| Description | This cluster of papers focuses on the detection and identification of digital image forgeries, including techniques such as copy-move forgery detection, sensor pattern noise analysis, JPEG compression history estimation, camera model identification, splicing detection, and tampering localization. The papers also explore the application of deep learning methods for image forensics and the detection of inconsistencies in image manipulation. |
| Domain | Physical Sciences |
| Field | Computer Science |
| OpenAlex ID | https://openalex.org/T12357 |
| Works | 25,189 |

## Topic researchers

Showing 12 of 20.

- [Yoshua Bengio](https://scholariq.org/researchers/yoshua-bengio/)
- [Geoffrey E. Hinton](https://scholariq.org/researchers/geoffrey-e-hinton/)
- [Li Fei-Fei](https://scholariq.org/researchers/li-fei-fei/)
- [Trevor Darrell](https://scholariq.org/researchers/trevor-darrell/)
- [Luc Van Gool](https://scholariq.org/researchers/luc-van-gool/)
- [Anil K. Jain](https://scholariq.org/researchers/anil-k-jain/)
- [Bernhard Schölkopf](https://scholariq.org/researchers/bernhard-scholkopf/)
- [Serge Belongie](https://scholariq.org/researchers/serge-belongie/)
- [Andrew Y. Ng](https://scholariq.org/researchers/andrew-y-ng/)
- [Sepp Hochreiter](https://scholariq.org/researchers/sepp-hochreiter/)
- [Ming–Hsuan Yang](https://scholariq.org/researchers/ming-hsuan-yang/)
- [B. Liu](https://scholariq.org/researchers/b-liu/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.