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Steganography using Coefficient Replacement and Adaptive Scaling based on DTCWT

机译:基于DTCWT的系数替换和自适应缩放的隐写术

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Steganography is an authenticated technique for maintaining secrecy of embedded data. Steganography provides hardness of detecting the hidden data and has a potential capacity to hide the existence of confidential data. In this paper, we propose a novel steganography using coefficient replacement and adaptive scaling based on Dual Tree Complex Wavelet Transform (DTCWT) technique. The DTCWT and LWT 2 is applied on cover image and payload respectively to convert spatial domain into transform domain. The HH sub band coefficients of cover image are replaced by the LL sub band coefficients of payload to generate intermediate stego object and the adaptive scaling factor is used to scale down intermediate stego object coefficient values to generate final stego object. The adaptive scaling factor is determined based on entropy of cover image. The security and the capacity of the proposed method are high compared to the existing algorithms.
机译:隐写术是一种用于保持嵌入式数据保密性的经过验证的技术。隐写术提供了检测隐藏数据的难度,并具有隐藏机密数据存在的潜在能力。在本文中,我们提出了一种基于对偶树复数小波变换(DTCWT)技术的使用系数替换和自适应缩放的新型隐写术。 DTCWT和LWT 2分别应用于封面图像和有效载荷,以将空间域转换为变换域。覆盖图像的HH子带系数被有效载荷的LL子带系数代替,以生成中间隐身物体,自适应缩放因子用于按比例缩小中间隐身物体系数值以生成最终隐身物体。基于覆盖图像的熵确定自适应缩放因子。与现有算法相比,该方法的安全性和容量较高。

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