arXiv Open Access 2025

Evaluating Deep Learning and Traditional Approaches Used in Source Camera Identification

Mansur Ozaman

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Abstrak

One of the most important tasks in computer vision is identifying the device using which the image was taken, useful for facilitating further comprehensive analysis of the image. This paper presents comparative analysis of three techniques used in source camera identification (SCI): Photo Response Non-Uniformity (PRNU), JPEG compression artifact analysis, and convolutional neural networks (CNNs). It evaluates each method in terms of device classification accuracy. Furthermore, the research discusses the possible scientific development needed for the implementation of the methods in real-life scenarios.

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cs.CV

Penulis (1)

Mansur Ozaman

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Ozaman, M. (2025). Evaluating Deep Learning and Traditional Approaches Used in Source Camera Identification. https://arxiv.org/abs/2511.19180

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Informasi Jurnal

Tahun Terbit: 2025
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓