Literature Survey on Various Source Camera Identification Techniques
Year: 2025
Type: article
Abstract: The increasing occurrence of digital images in various domains like social media, journalism, and law enforcement has created a need for secure methods to verify their originality and determine their source. Images can easily be manipulated thereby leading to misinformation and other serious consequences. This opens the gateway for different source camera identification techniques like Photo Response Non-Uniformity (PRNU) analysis, Colour Filter Array (CFA) interpolation, Auto-white balance (AWB) approximation, lens radial distortion, and many more. Factors like image type, JPEG compression level, rotation and gamma correction affect the accuracy and reliability of these methods. Henceforth, this paper aims to systematically review source camera identification techniques, detailing their accuracy and applicability across different datasets and camera models.
Authors: Ananya G, Bindu Madhavi V, Prof. Divya S J
Institution: Global Academy of Technology
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4410618890