Hiding Three Binary Images in a Grayscale Image with Pixel Matching Steganography and Randomization technique

M. G. Gouthamanaath, A. Kangaiammal
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引用次数: 3

Abstract

This paper presents a method to hide three binary images in a grayscale image with same resolution. Pseudo Random Number Generator(PRNG) produces the random numbers that rearranges the binary values. PRNG algorithm is unique and the strength of random numbers generated are equal to random numbers generated without a seed value. Each binary image pixel values are rearranged through three random number series and it is hidden in a grayscale image through Ultra Unique Numbers (UUN). By comparing both concealed image and original image, modification among the image is identified. To identify concealed secret binary information in a grayscale image at the destination, UUN is reapplied. PRNG is used to rearrange the binary values for transforming the binary images. The main aim of this paper is to increase the embedding capacity of carter image without degrading the quality of the secret information with high Peak Signal Noise Ratio(PSNR).
利用像素匹配隐写和随机化技术在灰度图像中隐藏三幅二值图像
提出了一种在相同分辨率的灰度图像中隐藏三幅二值图像的方法。伪随机数生成器(PRNG)产生重新排列二进制值的随机数。PRNG算法是唯一的,生成的随机数的强度等于不带种子值生成的随机数。每个二值图像像素值通过三个随机数序列重新排列,并通过UUN (Ultra Unique Numbers)隐藏在灰度图像中。通过对隐藏图像和原始图像的比较,识别出图像之间的修改。为了识别目标灰度图像中隐藏的秘密二进制信息,重新应用UUN。PRNG用于对二值图像进行重新排列,实现二值图像的变换。本文的主要目的是在不降低峰值信噪比(PSNR)较高的秘密信息质量的前提下,提高卡特图像的嵌入容量。
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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