基于ROI的小波域SVD鲁棒视频隐写技术

IF 1.1 Q3 COMPUTER SCIENCE, THEORY & METHODS Open Computer Science Pub Date : 2022-01-01 DOI:10.1515/comp-2020-0229
Urmila Pilania, Rohit Tanwar, Prinima Gupta
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引用次数: 1

摘要

摘要隐写术是一种将秘密信息嵌入适当的封面文件(如文本、图像、音频和视频)中的技术,其方式是使秘密信息对外界不可见。对与视频隐写术相关的文献的研究表明,在获得各种评估参数的可接受值(如更高的容量)时存在折衷,通常会导致较差的鲁棒性或不可察觉性。在本文中,我们提出了一种实现高容量和所需鲁棒性的技术。使用奇异值分解压缩来增加嵌入容量。为了实现所需的鲁棒性,我们将秘密消息的嵌入限制在封面视频文件的感兴趣区域中。通过这种方式,我们也成功地保持了必要的不可察觉性。我们更喜欢小波域中基于Haar的提升方案来嵌入信息,因为它具有固有的优点。我们已经使用MATLAB实现了我们建议的技术。对隐写术预定参数的结果分析证明了所提出技术的有效性。
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An ROI-based robust video steganography technique using SVD in wavelet domain
Abstract Steganography is a technique that embeds secret information in a suitable cover file such as text, image, audio, and video in such a manner that secret information remains invisible to the outside world. The study of the literature relevant to video steganography reveals that a tradeoff exists in attaining the acceptable values of various evaluation parameters such as a higher capacity usually results in lesser robustness or imperceptibility. In this article, we propose a technique that achieves high capacity along with required robustness. The embedding capacity is increased using singular value decomposition compression. To achieve the desired robustness, we constrain the embedding of the secret message in the region of interest in the cover video file. In this manner, we also succeed in maintaining the required imperceptibility. We prefer Haar-based lifting scheme in the wavelet domain for embedding the information because of its intrinsic benefits. We have implemented our suggested technique using MATLAB. The analysis of results on the prespecified parameters of the steganography justifies the effectiveness of the proposed technique.
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来源期刊
Open Computer Science
Open Computer Science COMPUTER SCIENCE, THEORY & METHODS-
CiteScore
4.00
自引率
0.00%
发文量
24
审稿时长
25 weeks
期刊最新文献
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