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Analysis of data hiding using Digital Image Signal Processing

机译:利用数字图像信号处理分析数据

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Data hiding process embeds data into digital media for the purpose of security. Digital image is one of the best media to store data. It provides large capacity for hiding secret information which results into stego-image imperceptible to human vision, a novel steganographic approach based on data hiding method such as pixel-value differencing. This method provides both high embedding capacity and outstanding imperceptibility for the stego-image. In this paper, different image processing techniques are described for data hiding related to pixel value differencing. Pixel Value Differencing based techniques is carried out to produce modified data hiding method. Hamming is an error correcting method which is useful to hide some information where lost bit are detected and corrected. OPAP is used to minimize embedding error thus quality of stego-image is improved without disturbing secret data. ZigZag method enhances security and quality of image. In modified method Hamming, OPAP and ZigZag methods are combined. In adaptive method image is divided into blocks and then data will be hidden. Objective of the proposed work is to increase the stego -image quality as well as increase capacity of secret data. Result analysis compared for BMP images only, with calculation of evaluation metrics i.e. MSE, PSNR and SSIM.
机译:数据隐藏过程将数据嵌入数字媒体以供安全。数字图像是存储数据的最佳媒体之一。它为隐藏秘密信息提供了大容量,该秘密信息导致STEGO-Image难以忍受的人类视觉,这是一种基于数据隐藏方法的新的书签方法,例如像素值差异。该方法提供高嵌入容量和STEGO图像的出色难忘。在本文中,描述了与像素值差相关的数据隐藏的数据处理技术。基于像素值的基于差异的技术,以产生修改的数据隐藏方法。汉明是一种纠错方法,可用于隐藏检测和校正丢失位的一些信息。 OPAP用于最小化嵌入误差,因此在不干扰秘密数据的情况下提高了STEGO图像的质量。 Zigzag方法提高了图像的安全性和质量。在改进的方法中,汉明,opap和Zigzag方法组合。在自适应方法图像中被分成块,然后将隐藏数据。拟议工作的目的是增加Stego icage质量以及增加秘密数据的能力。结果分析仅对BMP图像相比,计算评估度量I.E.MSE,PSNR和SSIM。

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