HIGH CAPACITY AND OPTIMIZED IMAGE STEGANOGRAPHY TECHNIQUE BASED ON ANT COLONY OPTIMIZATION ALGORITHM

A. Piya
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引用次数: 5

Abstract

The tremendous development of digital technology, it is mandatory to address the security while transmitting information over network in a way that observer couldn’t depict it. Measures to be taken to provide the security by establishing hidden communication using steganography principle which is help to camouflage the secret information in some carrier file such as text, image, audio and video. In this era of hidden data communication, image becoming an effective tool on account of their frequency, capability and accuracy. Image steganography uses an image as a carrier medium to hide the secret data. The main motive of this article is that the uses the combination of frequency domain and optimization method inorder to increasing in robustness. In this article, Integer Wavelet transform is performed into the host image and coefficients have been transformed. ACO optimization algorithm is used to find the optimal coefficients where to hide the data. Furthermore, sample images and information having been demonstrated which proved the increased robustness as well as high level of data embedding capacity.
基于蚁群优化算法的大容量优化图像隐写技术
随着数字技术的巨大发展,在网络上传输信息时,必须以观察者无法描述的方式来解决安全问题。为了提供安全性,应采取措施,利用隐写术原理建立隐藏通信,这有助于伪装文本、图像等载体文件中的秘密信息,音频和视频。在这个隐藏数据通信的时代,图像以其频率、能力和准确性成为一种有效的工具。图像隐写术使用图像作为载体介质来隐藏秘密数据。本文的主要动机是将频域与优化方法相结合,以提高鲁棒性。本文对主图像进行了整数小波变换,并对其系数进行了变换。ACO优化算法用于寻找隐藏数据的最佳系数。此外,已经证明了样本图像和信息的增强鲁棒性以及高水平的数据嵌入能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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