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Joint Data-Hiding and Compression Scheme Based on Side Match VectorQua
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Joint Data-Hiding and Compression Scheme Based on Side Match VectorQua

Forfatter:
pocket, 2025
Engelsk
The "Joint Data-Hiding and Compression Scheme Based on Side Match Vector Quantization and Image Inpainting" is an innovative approach that integrates data hiding, compression, and image restoration techniques. The scheme utilizes side-match vector quantization (SMVQ) for efficient data compression, where vectors of data are compressed by exploiting similarities between neighboring data points. Simultaneously, it hides secret information within the compressed data. The image inpainting technique is then employed to restore missing parts or add subtle distortions to the image, ensuring that the hidden data is well-integrated into the image while maintaining visual quality. This method aims to enhance security and compression efficiency in multimedia systems.
Forfatter
Arjun Nichal
ISBN
9786208424503
Språk
Engelsk
Vekt
95 gram
Utgivelsesdato
21.1.2025
Antall sider
60