A secure video steganography scheme using DWT based on object tracking

Mukesh Dalal, Mamta Juneja
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引用次数: 4

Abstract

ABSTRACT Videos are nowadays the most frequent and easy mode of communication over the internet; the reason behind the growth is the accessibility to video processing software available on the internet. Video steganography is a field where the data is embedded in video keeping the visual quality of the video intact. This study presents a new video steganography scheme with a stable trade-off between robustness and imperceptibility using 2D-DWT (Discrete Wavelet Transform) based on object detection and tracking. The main contribution of this paper includes embedding of secret data in the moving objects after applying object detection for the video frames where the secret bits are embedded in middle frequency sub-bands after applying 2D-DWT. To highlight the effectiveness of the proposed scheme, experimental results are carried out both quantitatively and qualitatively where quantitative analysis is done using different metrics such as PSNR, SSIM, BER and qualitative analysis is done using visual results of the frames. The experimental results illustrated that the proposed approach outperforms existing techniques in terms of qualitative and quantitative evaluation with high imperceptibility and robustness against noise attack. Eventually, the scheme has also been tested against existing steganalysis techniques to ensure the security of the proposed scheme.
一种基于目标跟踪的小波变换安全视频隐写方案
视频是当今互联网上最常见、最便捷的交流方式;增长背后的原因是互联网上视频处理软件的可访问性。视频隐写术是将数据嵌入视频中以保持视频视觉质量完整的一个领域。本文提出了一种新的视频隐写方案,该方案利用基于目标检测和跟踪的2D-DWT(离散小波变换)在鲁棒性和不可感知性之间取得了稳定的平衡。本文的主要贡献包括对视频帧进行目标检测后将秘密数据嵌入到运动物体中,其中秘密比特在应用2D-DWT后嵌入到中频子带中。为了突出所提出方案的有效性,实验结果进行了定量和定性,其中定量分析使用不同的指标,如PSNR, SSIM, BER和定性分析使用帧的视觉结果。实验结果表明,该方法在定性和定量评价方面都优于现有的方法,具有较高的不可感知性和抗噪声的鲁棒性。最后,该方案还针对现有的隐写分析技术进行了测试,以确保所提出方案的安全性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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