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Embedding Context with Photographic Steganography

This study investigates a novel approach to photographic steganography leveraging embedded QR codes and a photometric model that accounts for various distortions in the visual MIMO channel, including geometric, angular, and specularity distortion. The Min-Group method is employed for effective reflection removal, and experiments conducted both indoors and outdoors demonstrate the efficacy of the proposed model. This research aims to develop a real-time photographic steganography framework that enhances image formation in active scenes featuring electronic displays.

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Embedding Context with Photographic Steganography

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  1. Embedding Context with Photographic Steganography Wenjia Yuan

  2. Motivation • QR codes

  3. Photometric model • Distortions in the visual MIMO channel • Geometric distortion • Angular distortion • Specularity distortion

  4. Photometric model

  5. Photometric model Embedded Original Embedded Original Division Division

  6. Photographic steganography • Photometric ratio

  7. Photographic steganography • Receiver Min-Group Min-Group Binary matrix

  8. Photographic steganography • Min-Group method for reflection removal

  9. Experiments • Indoor

  10. Experiments • Outdoor

  11. Conclusions • Develop a model for image formation of an active scene containing electronic displays • Present real-time photographic steganography for visual MIMO optical system.

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