The 'Dresden Image Database' for benchmarking digital image forensics

作者: Thomas Gloe , Rainer Böhme

DOI: 10.1145/1774088.1774427

关键词:

摘要: This paper introduces and documents a novel image database specifically built for the purpose of development bench-marking camera-based digital forensic techniques. More than 14,000 images various indoor outdoor scenes have been acquired under controlled thus widely comparable conditions from altogether 73 cameras. The cameras were drawn only 25 different models to ensure that device-specific model-specific characteristics can be disentangled studied separately, as validated with results in this paper. In addition, auxiliary estimation sensor noise pattern collected each camera. Another subset study JPEG compression algorithms has compiled model. 'Dresden Image Database' will made freely available scientific purposes when accompanying is presented. intended become useful resource researchers investigators. Using standard benchmark not makes more reproducible, but it also economical avoids potential copyright privacy issues go along self-sampled sets public photo communities on Internet.

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