IMAGINE Dataset: Digital Camera Identification Image Benchmarking Dataset

被引：1

作者：

Bernacki, Jaroslaw ^{[1
]}

Scherer, Rafal ^{[1
]}

机构：

[1] Czestochowa Tech Univ, Dept Intelligent Comp Syst, Al Armii Krajowej 36, PL-42200 Czestochowa, Poland

来源：

PROCEEDINGS OF THE 20TH INTERNATIONAL CONFERENCE ON SECURITY AND CRYPTOGRAPHY, SECRYPT 2023 | 2023年

关键词：

Digital Camera Identification; Sensor Identification; Digital Forensics; Privacy; Security; Machine Learning; Deep Models; Convolutional Neural Networks;

D O I：

10.5220/0012130300003555

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

We present the IMAGINE dataset. The proposed dataset may be used for benchmarking digital camera identification algorithms, which is an important issue in the field of digital forensics. So far, the most common image dataset seems to be the Dresden Image Database, but this dataset contains images from relatively old devices which include charge-coupled device (CCD) imaging sensors. Our dataset contains a number of images coming from modern devices which include mobile devices, compact cameras, and digital single-lens reflex/mirrorless (DSLR/DSLM) with Complementary Metal-Oxide-Semiconductor (CMOS) imaging sensors. Extensive experimental evaluation performed on a set of modern camera identification methods and algorithms confirmed the reliability of the IMAGINE dataset.

引用

页码：799 / 804

页数：6

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