High Embedding Capacity Color Image Steganography Scheme Using Pixel Value Differencing and Addressing the Falling-Off Boundary Problem

IF 0.8 Q4 COMPUTER SCIENCE, SOFTWARE ENGINEERING International Journal of Image and Graphics Pub Date : 2023-03-31 DOI:10.1142/s0219467824500475
Dr. Nagaraj V. Dharwadkar, Ashutosh A. Lonikar, Mufti Mahmud
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Abstract

In this paper, we changed the methodology for pixel value differencing. The proposed method work on RGB color images improves the existing PVD technique in terms of embedding capacity and overcomes the issue of falling off boundaries in the traditional PVD technique, and provides security to the secret message from histogram quantization attack. Color images are composed of three different color channels (red, green, and blue), so we cannot apply the traditional pixel value differencing algorithm to them. Due to that, the proposed technique divides the RGB photograph in red, blue, and green channels. Following that the modified pixel value differencing algorithm is employed to all successive pixels of color channels. We get the total embedding capacity by adding the embedding capacities of each color component. After embedding the data, we concatenate the color channels to get the stegoimage. On a series of color images, we tested our pixel value differencing approach and found that the stego-picture’s visual excellence and payload capacity were reasonable. The variation in histogram between the stego and cover photographs was minor, making it resistant to histogram quantization attacks, and the suggested approach also solves the issue of falling off the boundary.
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基于像素值差分的高嵌入容量彩色图像隐写方案及边界脱落问题的解决
在本文中,我们改变了像素值差分的方法。该方法在RGB彩色图像上的工作在嵌入容量方面改进了现有的PVD技术,克服了传统PVD技术中边界脱落的问题,并为直方图量化攻击的秘密消息提供了安全性。彩色图像由三个不同的颜色通道(红色、绿色和蓝色)组成,因此我们不能将传统的像素值差分算法应用于它们。因此,所提出的技术将RGB照片划分为红色、蓝色和绿色通道。随后,将改进的像素值差分算法应用于颜色通道的所有连续像素。我们通过将每个颜色分量的嵌入容量相加来获得总嵌入容量。在嵌入数据之后,我们将颜色通道连接起来以获得stegoimage。在一系列彩色图像上,我们测试了我们的像素值差分方法,发现stego图片的视觉效果和有效载荷容量是合理的。隐藏照片和封面照片之间的直方图变化很小,使其能够抵抗直方图量化攻击,并且所提出的方法还解决了偏离边界的问题。
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来源期刊
International Journal of Image and Graphics
International Journal of Image and Graphics COMPUTER SCIENCE, SOFTWARE ENGINEERING-
CiteScore
2.40
自引率
18.80%
发文量
67
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