A Least Significant Bit Steganographic Method Using Hough Transform Technique

D. Nashat, Loay Mamdouh
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Abstract

Steganography is a data-hiding scientific branch that aims to hide secret data in an image, video, or audio. Image steganography methods try to embed a large amount of data into images with high imperceptibility. However, increasing the number of embedded data in the image decreases its quality. Therefore, in this paper, a new method based on Least Significant Bit (LSB) using Hough Transform is proposed to improve the stego image quality with increasing the amount of embedded data. The LSB is the common embedding steganography method due to its simplicity of implementation and low complexity. The proposed method inverts the LSBs of image pixels to enhance the quality of stego image. First, improved edge detection filter is used to detect edges areas. Then, we invert LSBs for the pixel in edge area pixels. Finally, the LSBs smooth area pixels of the cover image are inverted. The performance of the presented method is evaluated for the stego image quality and the amount of embedded data. The results show that the new method has better performance in comparison with the current methods in terms of Peak Signal-to-Noise Ratio (PSNR) and capacity.
一种基于霍夫变换的最小有效位隐写方法
隐写术是一种数据隐藏的科学分支,旨在隐藏图像、视频或音频中的秘密数据。图像隐写方法试图将大量数据嵌入到具有高度隐蔽性的图像中。然而,增加图像中嵌入数据的数量会降低图像的质量。为此,本文提出了一种基于Hough变换的最小有效位(Least Significant Bit, LSB)的新方法,通过增加嵌入数据量来提高隐写图像的质量。LSB算法实现简单,复杂度低,是常用的嵌入隐写方法。该方法通过反转图像像素的lsb来提高隐写图像的质量。首先,采用改进的边缘检测滤波器对边缘区域进行检测。然后,我们对边缘区域像素的像素进行lsb反演。最后,对覆盖图像的LSBs平滑区域像素进行反演。对该方法的隐写图像质量和嵌入数据量进行了评价。结果表明,新方法在峰值信噪比(PSNR)和容量方面都优于现有方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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