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

This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.

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.