基于混沌图的高容量双精度图像隐写术

Salwan Fadhel Al Rubaie, M. Al-Azawi
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引用次数: 0

摘要

隐写术是将机密信息隐藏在非机密多媒体中,使第三方无法辨别其中是否有秘密信息的过程。而密码学是一种利用数学概念通过密钥将信息转换成不可读代码的技术。本文将提出两种方法,即无损和有损图像隐写术。这两种方法都将使用基于三种不同混沌图的密码学和隐写术来确保信息安全。在密码学部分,将使用两个混沌图来加密秘密信息,而在隐写术部分,将使用一个混沌图来嵌入信息。秘密信息将隐藏在双精度图像像素的最小有效位(LSB)中。双精度图像是一种高质量图像,对于灰度图像来说,每个像素可以用64比特表示,因此冗余比特非常高。仿真结果表明,无损和有损方法的嵌入容量分别高达 60.938% 和 400%,峰值信噪比(PSNR)达到 69.964 dB。此外,由于使用了密钥空间为 2448 的 3 个混沌映射,该系统非常安全。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
High capacity double precision image steganography based on chaotic maps
Steganography is the process of hiding confidential information within non-secret multimedia such that the 3rd party cannot distinguish if there is a secret message in it or not. Whereas cryptography is the technique of using mathematical concepts to convert information into unreadable codes via a key. This paper will propose two approaches, lossless and lossy image steganography. Both of them will use cryptography and steganography based on three different chaotic maps to ensure information security. In the cryptography part, two chaotic maps will be used to encrypt the secret information, while in the steganography section, one chaotic map is used to embed the message. The secret information will be concealed in the least significant bits (LSBs) of the double-precision image’s pixels. The double precision image is a high-quality image and can be represented in 64 bits per pixel for grayscale images, leading to a very high redundant bit. Simulation results show a high embedding capacity of 60.938% and 400% for lossless and lossy approaches respectively with a peak signal to noise ratio (PSNR) reach of 69.964 dB. Furthermore, this system is extremely secure due to the use of 3 chaotic maps with key space 2448.
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