T
Thomas Gloe
Researcher at Dresden University of Technology
Publications - 18
Citations - 1496
Thomas Gloe is an academic researcher from Dresden University of Technology. The author has contributed to research in topics: Digital image & JPEG. The author has an hindex of 13, co-authored 18 publications receiving 1327 citations.
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Proceedings ArticleDOI
The 'Dresden Image Database' for benchmarking digital image forensics
Thomas Gloe,Rainer Böhme +1 more
TL;DR: A novel image database specifically built for the purpose of development and bench-marking of camera-based digital forensic techniques and is intended to become a useful resource for researchers and forensic investigators.
Journal ArticleDOI
The Dresden Image Database for Benchmarking Digital Image Forensics
Thomas Gloe,Rainer Böhme +1 more
TL;DR: A novel image database specifically built for the purpose of development and benchmarking of camera-based digital forensic techniques and is intended to become a useful resource for researchers and forensic investigators.
Proceedings ArticleDOI
Can we trust digital image forensics
TL;DR: This work will take a closer look at two state-of-the-art forensic methods and proposes two counter-techniques; one to perform resampling operations undetectably and another one to forge traces of image origin.
Proceedings ArticleDOI
On resampling detection in re-compressed images
Matthias Kirchner,Thomas Gloe +1 more
TL;DR: This paper investigates the important case of resampling detection in re-compressed JPEG images and shows how blocking artifacts of the previous compression step can help to increase the otherwise drastically reduced detection performance in JPEG compressed images.
Proceedings ArticleDOI
Unexpected artefacts in PRNU-based camera identification: a 'Dresden Image Database' case-study
TL;DR: Observations from a case study with the 'Dresden Image Database' revealed diagonal line artefacts in Nikon CoolPix S710 sensor noise, as well as non-trivial dependencies between sensor Noise, exposure time and focal length, which may provide valuable clues for camera model identification.