基于因式分解和螺旋LSB方法的视频隐写技术

V. Jha, Srilekha Mukherjee, Subhajit Roy, G. Sanyal
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引用次数: 5

摘要

保密信息的保护自古以来就是一个备受关注的问题。如今,互联网的使用已经大大增加。因此,数字媒体收集了大量的机密数据。为了保持机密数据的保密性,人们进化出了不同的隐藏方法。隐写术是一个新兴的领域,其中维护秘密数据的隐私是至关重要的。它是一种将秘密数据或机密信息隐藏在数字覆盖的信息中的艺术。本文提出了一种新的视频隐写技术,该技术通过覆盖帧像素随机化、去随机化和数据嵌入技术,在保持秘密数据(视频文件)的质量的同时,防止入侵者通过开放信道进行通信。本文提出了一种利用因子分解方法对封面视频文件的封面帧进行像素搅乱的新方法。然后利用螺旋(扩展)LSB技术将秘密视频文件的帧插入到加密后的秘密视频文件的封面帧中。这种将秘密视频隐藏在封面视频中的方法为保护秘密数据不受未经授权的访问提供了一种新的安全概念。用峰值信噪比(PSNR)来衡量隐写视频的质量。因此,这种新的视频隐写方法对人类视觉具有非常高的隐蔽性,因此是相当有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Video steganography technique using factorization and spiral LSB methods
The protection of confidential information from intruder has been a great matter of concern since ancient times. Nowadays use of internet has increased tremendously. As a result of it Digital media gathers maximum amount of confidential data. To maintain the secrecy over confidential data, different methods of hiding have been evolved. Steganography is one of the emergent area where maintaining the privacy of secret data is of utmost importance. It is an art of hiding the secret data or confidential information inside the digitally covered information. In this paper we proposed a new technique of video steganography by implementing cover frame pixel randomization, de-randomization and data embedding technique which maintain the quality of the secret data(video file) and prevents it from being accessed by intruders while communication through an open channel. Here we have proposed a new technique using factorization method to scramble pixels of cover frames of cover video file. Then the frames of secret video file is inserted in the scrambled cover frame of cover video file using Spiral (Extended) LSB technique. This method of hiding the secret video in the cover video gives a new security concept of securing the secret data from unauthorized accesses. Peak Signal-to-Noise Ratio (PSNR) is used to measure the quality of stegovideo. Thus this new approach of video steganography shows a very high imperceptibility to human vision and hence is quite efficient.
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