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portada Joint Data-Hiding and Compression Scheme Based on Side Match Vectorqua: Image Steganography
Type
Physical Book
Publisher
Author
Language
English
Pages
60
Format
Paperback
ISBN13
9786208424503

Joint Data-Hiding and Compression Scheme Based on Side Match Vectorqua: Image Steganography

Arjun Nichal (Author) · Lap Lambert Academic Publishing · Paperback

Joint Data-Hiding and Compression Scheme Based on Side Match Vectorqua: Image Steganography - Arjun Nichal

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Synopsis "Joint Data-Hiding and Compression Scheme Based on Side Match Vectorqua: Image Steganography"

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.

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