New Steganography Scheme to Conceal a Large Amount of Secret Messages Using an Improved-AMBTC Algorithm Based on Hybrid Adaptive Neural Networks

被引:5
|
作者
Al-Salhi, Yahya E. A. [1 ]
Lu, Songfeng [1 ]
机构
[1] Huazhong Univ Sci & Technol, Sch Comp Sci, Wuhan 430074, Peoples R China
基金
中国国家自然科学基金;
关键词
Image steganography; ANNS; I-AMBTC; PASS WAVELET TRANSFORM; IMAGE STEGANOGRAPHY;
D O I
10.1109/BigDataSecurity.2017.16
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The term steganography was used to conceal the secret message into other media file. In this paper, a novel image steganography is proposed, based on adaptive neural networks with recycling the Improved Absolute Moment Block Truncation Coding algorithm, and by employing the enhanced five edge detection operators with an optimal target of the ANNS. We propose a new scheme of an image concealing using hybrid adaptive neural networks based on I-AMBTC method by the help of two approaches; the relevant edge detection operators and image compression methods. Despite that, many processes in our scheme are used, but still the quality of concealed image looking good according to the HVS and PVD systems. The final simulation results are discussed and compared with another related research works related to the image steganography system.
引用
收藏
页码:112 / 121
页数:10
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