A self-recovery watermarking scheme based on block truncation coding and quantum chaos map

Hemida, Omer; He, Hongjie

doi:10.1007/s11042-020-08727-7

Cited by 21 publications

(20 citation statements)

References 26 publications

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“…However, it is worth noting that their scheme provides a TDR of 100%, and the mean PSNR between original ROI and recovered ROI is not less than 44.4914 dB. In addition, the values of NCC and SSIM are a little lower compared to schemes [38,39] and our approach. For schemes [38,39], the performances in terms of the watermarked image quality, SSIM and TDR, are similar to that of proposed scheme.…”

Section: Analysis and Comparisonsmentioning

confidence: 74%

“…To further demonstrate the effectiveness of our proposed scheme, we also compared the features between our proposed scheme and other existing fragile watermarking schemes [38][39][40][41], as shown in Table 5. Obviously, scheme [40] protects authentication and integrity verification of medical images well while providing a considerable watermarked image quality to avoid biases on diagnosis; however, it has a weakness in the ability to restore tampered images.…”

Section: Analysis and Comparisonsmentioning

confidence: 99%

“…However, they cannot localize the tampered area of an attacked image. Meanwhile, fragile watermarking-based methods [7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][38][39][40][41] have been put forth for image authentication, image tampering localization and recovery. Generally, fragile watermarking first generates a watermark by exploiting an image feature.…”

Section: Introductionmentioning

confidence: 99%

“…In 2020, a novel fragile watermarking scheme was presented by Hemida et al [38]. In their scheme, the block truncation coding is used to classify the image blocks into smooth blocks and rough blocks.…”

Section: Introductionmentioning

confidence: 99%

“…Afterwards, quantum chaos based mapping sequence is adopted to improve the security of the watermark. The PSNR of watermarked image provided by [38] ranges from 44 dB to 46 dB, and the recovered image quality is around 24 dB when the tampering ratio is up to 50%. At the same year, Molina-Garcia et al [39] proposed a fragile watermarking scheme for color image authentication and self-recovery.…”

Section: Introductionmentioning

confidence: 99%

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Effective Self-Recovery and Tampering Localization Fragile Watermarking for Medical Images

Chang

Lin

2020

IEEE Access

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It is increasingly important to achieve security and anti-counterfeiting for medical images. The integrity and verifiability of medical images before they are reviewed for potential medical diagnoses is imperative. This paper presents an effective self-embedding fragile watermarking scheme for medical images. Both self-recovery information and authentication code for each block are generated in advance and then embedded into other blocks separately with the help of the turtle shell and embedding table. In the tampering detection and localization phase, a three-level detection and localization strategy is employed to achieve higher accuracy for tampering localization. In the self-recovery phase, a two-hierarchical restoration method is exploited to achieve higher image quality in the recovered images. Several malicious attacks were tested to demonstrate the performance of the proposed scheme in terms of tampering detection and image recovery. Simulation results confirmed that the tampering detection rate can be up to 99.83% and the average PSNR of a recovered image can be up to 42.11 dB, both of which are higher than those of the Shehab et al.'s method. INDEX TERMS Medical images, fragile watermarking, authentication, self-recovery, turtle shell-based data hiding (TSDH)

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