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

Language: English

Published by LAP LAMBERT Academic Publishing Jan 2025, 2025

620842450X / 9786208424503

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This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 60 pp. Englisch.

Seller Inventory # 9786208424503

Title
Joint Data-Hiding and Compression Scheme Based on Side Match VectorQua
Author
Arjun Nichal
Publisher
LAP LAMBERT Academic Publishing Jan 2025
Publication year
2025
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
620842450X
ISBN 13
9786208424503
Item weight
107 grams
Dimensions
220x150x5 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

5-star seller

AbeBooks seller since January 23, 2017

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