Image double fragile watermarking algorithm based on block neighborhood

Yilong WANG; Zhenyu LI; Daofu GONG; Fenlin LIU

doi:10.11959/j.issn.2096-109x.2023036

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Image double fragile watermarking algorithm based on block neighborhood

Papers | 更新时间：2024-06-03

- Image double fragile watermarking algorithm based on block neighborhood
- Chinese Journal of Network and Information Security Vol. 9, Issue 3, Pages: 38-48(2023)
- 作者机构：
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- DOI：10.11959/j.issn.2096-109x.2023036
  CLC： TP309.7
- Online First：2023-06，
  
  Published：25 June 2023
- 稿件说明：
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Yilong WANG, Zhenyu LI, Daofu GONG, et al. Image double fragile watermarking algorithm based on block neighborhood[J]. Chinese Journal of Network and Information Security, 2023, 9(3): 38-48.
DOI：

Yilong WANG, Zhenyu LI, Daofu GONG, et al. Image double fragile watermarking algorithm based on block neighborhood[J]. Chinese Journal of Network and Information Security, 2023, 9(3): 38-48. DOI： 10.11959/j.issn.2096-109x.2023036.

摘要

针对自嵌入水印技术固定偏移映射带来的安全隐患和单水印机制可恢复率受限的问题，提出了一种基于块邻域的图像双脆弱水印算法。将图像划分为不重叠的4×4图像块，并运用块截断编码生成基于块内容的恢复水印；对任一图像块，设置适当大小的块邻域，并在其邻域外和邻域内随机选择两个图像块作为映射块；同时将恢复水印分别嵌入对应的两个映射块中。算法的图像块邻域设置机制可确保图像块与其对应映射块保持一定的距离；图像块邻域内外映射块选取机制使两个映射块之间保持一定的距离，保证了水印的安全性。理论分析了在连续区域篡改情形下，篡改区域与图像块邻域之间的关系，分析表明存在合适的图像块邻域，使被篡改区域的平均恢复率优于随机映射嵌入算法。利用数值计算给出了篡改区域平均恢复率和篡改区域各图像块恢复率的分布趋势，趋势表明：当篡改参数固定时，图像块邻域与篡改区域相交面积越大，其篡改区域的平均恢复率越高；而当篡改参数与邻域参数满足：t≤(r-1)/2时，篡改区域图像块可 100%恢复；(r-1)/2＜t≤r时，篡改区域中心的部分图像块可 100%恢复；t＞r时，篡改区域图像块恢复率有所降低。实验结果验证了理论分析的合理性和有效性；与基于随机映射的双水印嵌入算法相比，在连续区域篡改情形下，邻域参数较大时，篡改区域的平均恢复率高于随机映射嵌入算法。

Abstract

To address the security risks associated with fixed offset mapping in self-embedded watermarking technology

as well as the limited recovery rate of single watermarking methods

an image double fragile watermarking algorithm based on block neighborhood was proposed.The image was divided into non-overlapping blocks of size 4×4 and block truncation coding was used to generate the recovery watermark based on the image block.For each image block

a neighborhood of a proper size was specified and two mapping blocks were randomly selected from the regions within and outside the neighborhood.Then the recovery watermark was embedded into the two mapping blocks simultaneously.The image block neighborhood setting mechanism of the algorithm ensured that the image block maintains a certain distance from its corresponding mapping block.Additionally

the selection mechanism of mapping blocks inside and outside the image block neighborhood ensured a certain distance between the two mapping blocks

thereby guaranteeing the security of the watermark.In the case of continuous region tampering

the relationship between the tampered region and the neighborhood of the image block was analyzed theoretically.The analysis showed that a suitable image block neighborhood can improve the average recovery rate of the tampered area compared with the random mapping embedding algorithm.Besides

the distribution trend of the average recovery rate of the tampered area and the recovery rate of each image block in the tampered area were given by numerical calculation.It was found that the tampered area image block can be recovered 100%

some image blocks in the center of the tampered area can be recovered 100%

and the recovery rate of image blocks in tampered area will be reduced.The experimental results verify the rationality and effectiveness of the theoretical analysis.Moreover

when the neighborhood parameters are large

the proposed algorithm achieves a higher average recovery rate of the tampered region than the random mapping embedding algorithm in the case of continuous region tampering.

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references

LEE C F , SHEN J J , CHEN Z R , et al . Self-embedding authentication watermarking with effective tampered location detection and high-quality image recovery [J ] . Sensors , 2019 , 19 ( 10 ): 2267 .

ZHANG J P , ZHANG Q F , LV H L . A novel image tamper localization and recovery algorithm based on watermarking technology [J ] . Optik , 2013 , 124 ( 23 ): 6367 - 6371 .

DHOLE V S , PATIL N N . Self embedding fragile watermarking for image tampering detection and image recovery using self recovery blocks [C ] // IEEE 2015 International Conference on Computing Communication Control and Automation . 2015 : 752 - 757 .

HEMID O , HE H J . A self-recovery watermarking scheme based on block truncation coding and quantum chaos map [J ] . Multimedia Tools and Applications , 2020 , 79 ( 3 ): 18695 - 18725 .

Al-OYUM H A M , ALANSARI A W . Image watermarking for tamper detection and con-tent recovery applications based on a preservative bi-level moment approach with shuffling [C ] // ACM 5th International Conference on Computer and Technology Applications , 2019 : 25 - 29 .

SINGH D , SINGH S K . Effective self-embedding watermarking scheme for image tampered detection and localization with recovery capability [J ] . Journal of Visual Communication and Image Representation , 2016 , 38 ( 6 ): 775 - 789 .

WANG C Y , ZHANG H , ZHOU X . A self-recovery fragile image watermarking with variable watermark capacity [J ] . Applied Sciences , 2018 , 8 ( 4 ): 548 .

SINGH D , SINGH S K . Block truncation coding based effective watermarking scheme for image authentication with recovery capability [J ] . Multimedia Tools and Applications , 2019 , 78 ( 4 ): 4197 - 4215 .

FENG B , LI X L , JIE Y M , et al . A novel semi-fragile digital watermarking scheme for scram-bled image authentication and restoration [J ] . Mobile Networks and Applications , 2020 , 25 ( 1 ): 82 - 94 .

KIM C , YANG C N . Self-embedding fragile watermarking scheme to detect image tam-pering using ambtc and opap approaches [J ] . Applied Sciences , 2021 , 11 ( 3 ): 1146 .

LIU K C . Colour image watermarking for tamper proofing and pattern-based recovery [J ] . IET Image Processing , 2012 , 6 ( 5 ): 445 - 454 .

WANG Y L , LI Z Y , GONG D F , et al . Image fragile watermarking algorithm based on deneigh-borhoodmapping [EB ] .

LEE T Y , LIN S D . Dual watermark for image tamper detection and recovery [J ] . Pattern recognition , 2008 , 41 ( 11 ): 3497 - 3506 .

SONG Q , ZHANG H B . Image tamper detection and recovery using dual watermark [C ] // IEEE 6th International Conference on Wireless Communications Networking and Mobile Computing . 2010 : 1 - 4 .

HAGHIGHI B B , TAHERINI A H , HARATI A . TRLH:fragile and blind dual watermark-ing for image tamper detection and self-recovery based on lifting wavelet transform and halftoning technique [J ] . Journal of Visual Communication and Image Representation , 2018 , 50 ( 2 ): 49 - 64 .

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