基于修改概率轉(zhuǎn)換和非加性嵌入失真的視頻隱寫方法

李林聰; 姚遠(yuǎn)志; 張曉雅; 張衛(wèi)明; 俞能海

doi:10.11999/JEIT200001

基于修改概率轉(zhuǎn)換和非加性嵌入失真的視頻隱寫方法

doi: 10.11999/JEIT200001

中國科學(xué)技術(shù)大學(xué)信息科學(xué)技術(shù)學(xué)院合肥 230027

基金項(xiàng)目: 國家自然科學(xué)基金(61802357, U1636201)，國家重點(diǎn)研發(fā)計(jì)劃項(xiàng)目(2018YFB0804102)，中央高?；究蒲袠I(yè)務(wù)費(fèi)專項(xiàng)資金(WK3480000009)

詳細(xì)信息

作者簡介:
李林聰：男，1996年生，博士生，研究方向?yàn)樾畔㈦[藏、深度學(xué)習(xí)

姚遠(yuǎn)志：男，1989年生，副研究員，研究方向?yàn)樾畔㈦[藏、視頻編碼

張曉雅：女，1998年生，碩士生，研究方向?yàn)樾畔㈦[藏、計(jì)算機(jī)視覺

張衛(wèi)明：男，1976年生，教授，博士生導(dǎo)師，研究方向?yàn)樾畔㈦[藏、多媒體安全、隱私保護(hù)

俞能海：男，1964年生，教授，博士生導(dǎo)師，研究方向?yàn)閳D像視頻處理與分析、計(jì)算機(jī)視覺與模式識(shí)別、信息隱藏與媒體內(nèi)容安全、信息檢索與數(shù)據(jù)挖掘

通訊作者:
姚遠(yuǎn)志　yaoyz@ustc.edu.cn

中圖分類號(hào): TN918
計(jì)量
- 文章訪問數(shù): 1992
- HTML全文瀏覽量: 547
- PDF下載量: 112
- 被引次數(shù): 0
出版歷程
- 收稿日期: 2020-01-02
- 修回日期: 2020-08-04
- 網(wǎng)絡(luò)出版日期: 2020-08-12
- 刊出日期: 2020-10-13

Video Steganography Based on Modification Probability Transformation and Non-additive Embedding Distortion

School of Information Science and Technology, University of Science and Technology of China, Hefei 230027, China

Funds: The National Natural Science Foundation of China (61802357, U1636201), The National Key Research and Development Program of China (2018YFB0804102), The Fundamental Research Funds for the Central Universities (WK3480000009)

摘要

摘要: 近年來，基于運(yùn)動(dòng)矢量的視頻隱寫引起了信息隱藏領(lǐng)域研究者的廣泛關(guān)注。許多視頻隱寫方法通過合理地對(duì)運(yùn)動(dòng)矢量定義加性嵌入失真函數(shù)獲得了良好的性能，然而這些方法忽略了載體元素之間的相互嵌入影響。該文提出的利用非加性嵌入失真的視頻隱寫方法為運(yùn)動(dòng)矢量設(shè)計(jì)了可以反映相互嵌入影響的聯(lián)合嵌入失真，并通過分解聯(lián)合失真實(shí)現(xiàn)修改概率的轉(zhuǎn)換，從而動(dòng)態(tài)、合理地在運(yùn)動(dòng)矢量的水平分量和垂直分量分配秘密消息。實(shí)驗(yàn)結(jié)果表明，與使用加性嵌入失真方法相比，該方法能獲得更好的安全性和率失真性能。
- 信息隱藏 /
- 視頻隱寫 /
- 運(yùn)動(dòng)矢量 /
- 聯(lián)合嵌入失真 /
- 修改概率
Abstract: In recent years, research on motion vector-based video steganography has attracted considerable attention from researchers in the field of information hiding. Many video steganographic methods incorporating motion vector-based additive embedding distortion functions have achieved good performance. However, the mutual embedding impact between cover elements in video steganography is neglected in these additive embedding distortion functions. In this paper, joint distortion which reflects the mutual embedding impact for motion vectors is designed. By decomposing joint embedding distortion, modification probability transformation can be achieved and embedding payloads can be dynamically and reasonably allocated in horizontal components and vertical components of motion vectors. Therefore, the video steganography method using non-additive embedding distortion is proposed. Experimental results demonstrate that the proposed method can enhance the security performance significantly compared with the typical methods using additive embedding distortions and obtain the relatively better video coding quality as well.
- Information hiding /
- Video steganography /
- Motion vector /
- Joint embedding distortion /
- Modification probability

HTML全文

圖 1 本文和文獻(xiàn)[9]的方法的失真函數(shù)選定不同參數(shù)時(shí)抵抗隱寫分析方法S1和S2的性能

下載: 全尺寸圖片幻燈片

圖 2 5種隱寫方法抵抗3種隱寫分析方法的性能

下載: 全尺寸圖片幻燈片

圖 3 5種隱寫方法抵抗3種隱寫分析方法的綜合性能

下載: 全尺寸圖片幻燈片

表 1 5種嵌入率下5種隱寫方法抵抗3種隱寫分析方法的最小平均誤分類概率(%)

嵌入率(bpmv)	文獻(xiàn)[4]方法			文獻(xiàn)[5]方法			文獻(xiàn)[6]方法			文獻(xiàn)[9]方法			本文方法
嵌入率(bpmv)	S1	S2	S3	S1	S2	S3	S1	S2	S3	S1	S2	S3	S1	S2	S3
0.1	46.54	37.19	17.56	46.29	16.02	16.12	40.36	40.95	17.26	45.55	41.10	21.02	48.71	42.14	21.51
0.2	41.69	26.01	11.82	39.86	8.36	11.77	32.00	37.29	13.85	42.68	37.78	14.94	46.54	41.30	16.96
0.3	37.29	23.54	9.50	34.08	6.08	9.74	26.21	33.88	12.41	38.38	34.03	12.71	42.98	41.20	15.68
0.4	34.52	17.11	5.93	26.16	4.55	6.73	17.16	28.04	9.79	34.32	25.82	10.04	40.06	36.84	15.18
0.5	31.75	13.95	4.95	22.26	3.07	5.64	12.31	24.13	7.96	31.95	21.17	7.81	37.24	34.82	12.81

下載: 導(dǎo)出CSV

表 2 嵌入率為0.5bpmv時(shí)5種隱寫方法得到的載密視頻亮度分量的平均PSNR (dB)

視頻序列	載體視頻	文獻(xiàn)[4]方法	文獻(xiàn)[5]方法	文獻(xiàn)[6]方法	文獻(xiàn)[9]方法	本文方法
Bus	34.425	34.185	34.235	34.265	34.270	34.295
City	34.676	34.412	34.432	34.464	34.472	34.494
Coastguard	34.410	34.212	34.234	34.256	34.262	34.286
Crew	36.948	36.798	36.790	36.816	36.814	36.844
Flower	34.520	34.270	34.362	34.440	34.425	34.460
Football	35.938	35.842	35.848	35.838	35.845	35.860
Foreman	36.080	35.814	35.794	35.868	35.876	35.900
Harbour	34.046	33.864	33.854	33.898	33.892	33.924
Ice	39.558	39.282	39.270	39.382	39.380	39.405
Mobile	33.616	33.454	33.430	33.506	33.494	33.524
Paris	33.518	35.375	35.243	35.436	35.401	35.450
Soccer	35.664	35.496	35.504	35.504	35.518	35.548
Stefan	35.340	35.070	35.030	35.210	35.190	35.240
Tempete	34.520	34.358	34.320	34.388	34.392	34.418
Waterfall	34.688	34.250	34.338	34.360	34.388	34.405

下載: 導(dǎo)出CSV

表 3 嵌入率為0.5bpmv時(shí)5種隱寫方法得到載密視頻的平均比特率擴(kuò)張(%)

視頻序列	文獻(xiàn)[4]方法	文獻(xiàn)[5]方法	文獻(xiàn)[6]方法	文獻(xiàn)[9]方法	本文方法
Bus	12.81	14.03	3.48	5.77	3.39
City	22.92	20.47	9.02	10.34	7.01
Coastguard	6.78	9.72	3.92	4.64	2.94
Crew	3.99	4.95	3.10	3.15	1.95
Flower	14.87	15.26	2.93	5.14	1.74
Football	2.15	3.27	1.84	2.17	1.23
Foreman	11.92	18.45	5.97	6.52	4.63
Harbour	6.97	7.34	3.15	4.13	2.72
Ice	16.05	18.03	4.71	6.53	4.17
Mobile	9.95	13.10	3.49	5.64	3.00
Paris	10.44	19.15	2.51	6.59	2.46
Soccer	5.34	7.78	3.98	4.57	2.98
Stefan	13.95	14.89	3.63	5.13	2.39
Tempete	8.89	12.93	3.84	4.39	2.71
Waterfall	18.78	20.20	9.11	8.73	6.70

下載: 導(dǎo)出CSV

表 4 文獻(xiàn)[9]方法和本文方法在嵌入消息和編碼視頻步驟的平均執(zhí)行時(shí)間(s)

隱寫方法	嵌入消息	編碼視頻	總計(jì)
文獻(xiàn)[9]方法	3.39	92.26	95.65
本文方法	3.38	92.66	96.04

下載: 導(dǎo)出CSV

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