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Efficient Implementation of Multi-image Secret Hiding Based on LSB and DWT Steganography Comparisons

机译:基于LSB和DWT隐写技术比较的多图像秘密隐藏的有效实现

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摘要

The protection of confidential information transmitted over the Internet and restricting access to specific classified data havebecome a major security and privacy issue. To conceal the existence of such data, digital image steganography is employedhiding the secret in questions within a cover image, arriving at a new image that is virtually indistinguishable from the original.Thus, concealed data within the cover image is prevented from being detected via unauthorized access. In light of the above,certain aspects, such as the capacity of the cover image and the imperceptibility, need to be analyzed and addressed as theyconstitute the crucial assessment parameters for the performance of the steganography algorithms. In this paper, we comparethe steganography algorithms of least significant bit and discrete wavelet transform in terms of efficiency and capacity ofconcealing multiple images within a single cover image.We cover the mechanism of the embedding and extraction algorithmsformultiple numbers of images to come up with knowledgeable remarks. Furthermore, performance of these stego-algorithmshas been evaluated with regard to the capacity of the cover image, imperceptibility of the data, and security.
机译:保护通过Internet传输的机密信息并限制对特定机密数据的访问已成为一个主要的安全和隐私问题。为了隐藏此类数据的存在,采用了数字图像隐写技术来隐藏封面图像中存在问题的秘密,从而获得了与原始图像几乎没有区别的新图像。因此,可以防止未经授权的情况下检测到封面图像中的隐藏数据。访问。鉴于上述,在对隐写算法的性能构成至关重要的评估参数时,需要对某些方面(例如封面图像的容量和不可感知性)进行分析和解决。本文从最低有效位和离散小波变换的隐写算法两个方面对单个封面图像中隐藏多个图像的效率和容量进行了比较。我们讨论了多张图像的嵌入和提取算法的机理,以期提供丰富的知识。 。此外,就掩盖图像的容量,数据的不可感知性和安全性评估了这些隐秘算法的性能。

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