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Mehtap Ülker

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Open access Sep 2026

Adaptive Multi-Coefficient Quantization Index Modulation in DCT-Based Steganography

In digital image steganography, the primary aim is to embed information imperceptibly while ensuring reliable recovery under degradations encountered during storage, processing, or transmission. Conventional DCT-based approaches are inherently limited, as each bit is typically embedded into a single transform coefficie...

Mehtap Ülker · 0 citations
#generative ai Open access Sep 2026

Transfer Learning-Based Detection of AI-Generated Image

This study investigates the automatic classification of real and AI-generated flower images using fine-tuned transfer learning models and shows that Swin Transformer-Tiny achieved the best overall performance, reaching an F1-score of 88.64% and outperforming the other architectures.

Mehtap Ülker · 0 citations

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