Secure fragile watermarking method for image authentication with improved tampering localisation and self-recovery capabilities

Bravo-Solorio, Sergio; Nandi, Asoke K.

doi:10.1016/j.sigpro.2010.07.019

Cited by 60 publications

(35 citation statements)

References 13 publications

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“…In addition, the PSNR values of the test images are more than 51 dB, which objectively verify the invisibility of the watermark. To further test the precision of tamper localization, two evaluation indexes including the false positive rate (FPR) and false negative rate (FNR) are employed in this paper [21]. The FPR refers to the ratio of authentic pixels that are falsely detected as distorted pixels, and the FNR is the ratio of tampered pixels that are incorrectly detected as authentic pixels.…”

Section: Performance Comparisonsmentioning

confidence: 99%

Fragile Watermarking for Image Authentication Using the Characteristic of SVD

2017

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Digital image authentication has become a hot topic in the last few years. In this paper, a pixel-based fragile watermarking method is presented for image tamper identification and localization. By analyzing the left and right singular matrices of SVD, it is found that the matrix product between the first column of the left singular matrix and the transposition of the first column in the right singular matrix is closely related to the image texture features. Based on this characteristic, a binary watermark consisting of image texture information is generated and inserted into the least significant bit (LSB) of the original host image. To improve the security of the presented algorithm, the Arnold transform is applied twice in the watermark embedding process. Experimental results indicate that the proposed watermarking algorithm has high security and perceptual invisibility. Moreover, it can detect and locate the tampered region effectively for various malicious attacks.

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Section: Performance Comparisonsmentioning

confidence: 99%

Fragile Watermarking for Image Authentication Using the Characteristic of SVD

2017

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“…Fig.9 shows that, tampering attacks can be detected and localized accurately using the first proposed scheme. Figs Now, we will compare the performance of the first proposed scheme with other existing schemes like Chang et al [34] scheme, Lin et al [35] scheme, Bravo-Solorio et al [36] scheme and Sumalatha et al [31] scheme. The comparison is based on the main quality factors of fragile watermarking scheme which are the imperceptibility performance that is evaluated using PSNR measure and the tamper detection accuracy which is measured using the tamper detection rate as shown in Table.2.…”

Section: Performance Of the Two Proposed Schemes Under Tampering Attacksmentioning

confidence: 99%

Two Fragile Encryption-Watermarking Combined Schemes for Image Authentication with Tamper Detection and Localization

Mohamed¹,

Ibrahim²,

Abdelfattah³

et al. 2015

IJCA

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This paper presents two fragile watermarking schemes for digital image authentication with tamper detection and localization. We combine a proposed chaos-based encryption algorithm with the two schemes in order to improve the security, tamper detection sensitivity and tamper localization accuracy of the two schemes. The first proposed fragile watermarking scheme can be classified as a block-based scheme that divides the cover image into non-overlapping 4×4 blocks. We generate an 8-bit authentication watermark for each cover image block based on the block contents and then we use the proposed chaos-based encryption algorithm to encrypt this watermark. These encrypted 8-bit watermark are then embedded into the least significant bits (LSBs) of the highest intensity eight pixels of the block. On the other hand, the second proposed watermarking scheme can be classified as a wavelet-based scheme which uses an external secret watermark. This watermark is encrypted using the proposed chaos-based encryption algorithm. We decompose the cover image using Discrete Wavelet Transform (DWT) and then we use the encrypted watermark to update the approximation coefficients (LL sub-band) of the image. Various experimental tests are carried out to evaluate the performance of the two schemes. Experimental results demonstrate that the two proposed schemes can detect and localize tampering attacks accurately. The two schemes also achieve high degree of imperceptibility performance. Compared to some fragile watermarking schemes, our proposed schemes are more secure and efficient.

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“…In the last years numerous image authentication techniques have been devised in pixel domain [1,2] and transform domain, e.g., the Karhunen-Loève transform, [3,4]. Soft computing techniques [5] have been extensively used to improve the efficiency of the watermarking schemes [6][7][8].…”

Section: Introductionmentioning

confidence: 99%