基于雾气模型和选择加密的视频加雾隐藏算法

Video Fogging Hiding Algorithm Based on Fog Model and Selective Encryption

为了有效隐藏涉密视频,提出一种基于雾气模型和选择加密来对视频内容加雾隐藏的新算法。先将原始视频分帧并计算薄雾遮罩,当视频含明显涉密内容时,对涉密内容加密,并用浓雾遮罩对其实施隐藏;而对于无明显涉密内容的视频,此环节不作处理。然后,利用薄雾遮罩对视频画面实施隐藏,并针对雾气遮罩进行优化处理。最后,重组视频帧得到加雾视频。另外,原始视频可以由加雾视频通过恢复算法得到。实验结果表明,本算法能够对含密视频内容实施隐藏,而且能够降低数据量和抵抗去雾攻击。

In order to hiding classified video eftectively, a novel algorithm for fogging hiding classified video based on fog model and selective encLyption is proposed. Firstly, the original video is divided into frame sequences, and the thin fog veil is worked out. While the video contains obvious classified content, the content is encrypted, and then hidden by heavy fog veil. But any process is not clone if the video contains no obvious classified content. Furthermore, the video frame is hidden by thin fog veil, and then the fog veils are optimized. At last, the fogged video is obtained by reconstructing the frames. The original video can be restored by using restoring operation on fogged video. Experimental results show that the algorithm can hide classified videos, reduce the video data, and resist the defogging attack.