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Copy-Move Image Forgery Detection Using SIFT Algorithm With Tampered Region Localization For Digital Image Authentication
The Rapid Proliferation Of Digital Content Creation Tools, Artificial Intelligence Platforms, And Advanced Image Editing Software Has Significantly Increased The Risk Of Digital Forgery In Images, Documents, And AI-generated Media. Traditio...
DeepScan AI: A Multi-Layer Heuristic Framework For AI-Generated Image Detection
The Proliferation Of AI-generated Images Poses Pressing Threats To Information Integrity, Cybersecurity, And Public Trust. This Paper Presents DeepScan AI, A Multi-layer, Heuristic-driven Image Authenticity Verification System Engineered Wi...
Detecting AI-Generated Content: A Survey On Multimodal Detection Of Text, Image, And Video
Generative AI Has Advanced Very Quickly Allowing The Generation Of Realistic Fake Content In Text, Image, And Video Domains That Is Becoming Challenging To Differentiate From Real Content. While There Has Been Some Progress In Developing De...
FAKE COLOR IMAGE DETECTION USING HISTOGRAM AND GAUSSIAN MIXTURE MODEL
Image Forgery Implies Altering The Digital Image To Some Meaningful Or Valuable Data. Image Forensics Is A Well Developed Field That Analyzes The Images Of Specific Conditions To Build Up Trust And Genuineness. Although Image Editing Techni...