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  • 标题:Two-layers robust data hiding scheme for highly compressed image exploiting AMBTC with difference expansion
  • 本地全文:下载
  • 作者:Kankana Datta ; Biswapati Jana ; Mamata Dalui Chakraborty
  • 期刊名称:Journal of King Saud University @?C Computer and Information Sciences
  • 印刷版ISSN:1319-1578
  • 出版年度:2022
  • 卷号:34
  • 期号:8
  • 页码:5240-5260
  • 语种:English
  • 出版社:Elsevier
  • 摘要:When the secret message is placed inside a highly compressed image, the transmission will be more secure and cost efficient. In this article, two-layer data embedding and extraction approaches are provided that use a combination of Absolute Moment Block Truncation Coding (AMBTC) and Difference Expansion (DE) to enhance hiding capacity on a large scale while producing minimum distortion. The first layer embedding strategy is classified into three situations according to the amount of bit patterns that are concatenated to improve performance. DE is used to build the second layer algorithm. Bitmap has been retaining its previous layer values through DE. The two-layer embedding technique is effective for concealing large volumes of data. In comparison to existing popular AMBTC data hiding strategies, this suggested design provides a low-cost, high-capacity, two-layer efficient data embedding procedure. The anticipated consequence highlighted certain outstanding magnificent aspects in the fields of tampered detection, recovery and authentication schemes, all of which are essential to the modern technological life. This system benefits a wide range of government and business sectors, including health care, commercial security, defence, and intellectual property rights.
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