基于霍夫曼编码和斐波那契分解的新型隐写系统

Fadheela Sabri Abu-Almash
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引用次数: 2

摘要

在计算机安全和隐写系统中,隐藏图像中的秘密信息是一项具有挑战性和艰苦的任务。当然,攻击安全系统的绝对复杂性使其更具吸引力。在涉及信息隐藏的隐写系统中,采用霍夫曼编码对密文进行压缩后再嵌入,提供了高容量和一定的安全性。采用斐波那契分解来表示封面图像中的像素,增加了系统的鲁棒性。一个字节用于映射所有像素属性。由于嵌入位的随机分布,使得系统的PSNR更高。最后,采用PSNR、卡方攻击和HVS攻击三种评价方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
New Steganography System Based on Huffman Coding and Fibonacci Decomposition
Hiding secret information in the image is a challenging and painstaking task in computer security and steganography system. Certainly, the absolute intricacy of attacks to security system makes it more attractive.in this research on steganography system involving information hiding,Huffman codding used to compress the secret code before embedding which provide high capacity and some security. Fibonacci decomposition used to represent the pixels in the cover image, which increase the robustness of the system. One byte used for mapping all the pixels properties. This makes the PSNR of the system higher due to random distribution of embedded bits. Finally, three kinds of evaluation are applied such as PSNR, chi-square attack, and HVS attack.
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