基于LSB匹配和图像放大的图像隐写

Naziha Al-Aidroos, H. Bahamish
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引用次数: 4

摘要

隐写技术在数据安全领域发挥着重要作用。它的目的是在一个覆盖媒介中覆盖重要数据,使数据的存在保持机密性。秘密数据隐藏在这样一种方式,没有人知道它,除了发送者或预期的收件人。最低有效位(LSB)替换法是目前最常用的隐写方法,用于在高负载图像中隐藏秘密数据,而人眼视觉系统(HVS)无法注意到隐写后的图像有任何失真。该方案在利用图像放大原理的基础上,采用LSB匹配方法作为基本阶段。图像放大用于扩展隐写图像的尺寸,添加该步骤将把秘密数据分布到生成的图像上。实验结果表明,该方法在保持图像质量的前提下具有较高的容量。此外,秘密数据嵌入在非连续的像素位置,提供了高扩散,有效地抵抗图像隐写。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Image Steganography Based on LSB Matching and Image Enlargement
Steganography plays a main role in data security field. It aims to cover important data within a cover medium such that the data existence remains confidential. The secret data is hidden in such a way that no one knows about it except the sender or the intended recipient. The least significant bit (LSB) substitution method is the most popular image steganography method for hiding a secret data in an image with high payload, while the human visual system (HVS) cannot notice any distortion in the resulted stego image. The proposed scheme employs the LSB matching method as a fundamental stage besides using the principle of an image enlargement. Image enlargement is used to extend the stego image dimensions, adding this step will distribute the secret data over the resulting image. Experimental results showed that the proposed method significantly had a high capacity with preserve image quality. Moreover, the secret data was embedded in non-consecutive pixel positions, which provides a high diffusion and lead to resist the image steganalysis effectively.
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