A semi-fragile image watermarking algorithm with two-stage detection

Huo, Yaoran; He, Hongjie; Fan, Chen

doi:10.1007/s11042-012-1317-4

Cited by 29 publications

(17 citation statements)

References 14 publications

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“…This decision depends on the type of authentication methods for digital image forensic [4]. Two main types of authentication methods in digital image forensic have been explored in the literature: (1) active methods [5][6][7][8][9][10], and (2) passive methods [2,[11][12][13][14].…”

Section: Related Workmentioning

confidence: 99%

“…In the past few years, digital watermarking has been applied to authenticate and localise tampered regions within images [9,10,16,17]. Fragile and semi-fragile digital watermarking techniques are often utilised for image authentication.…”

Section: Related Workmentioning

confidence: 99%

“…In addition, semi-fragile schemes verify the integrity of the original image, as well as permitting alterations caused by non-malicious modifications such as image formation processes. Moreover, semi-fragile watermarking focused on detecting intentional attacks than validating the originality of the image [8,10,18].…”

Section: Related Workmentioning

confidence: 99%

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Detection of Scaled Region Duplication Image Forgery using Color based Segmentation with LSB Signature

Diaa¹,

Mohammed²

2017

ijacsa

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Abstract-Due to the availability of powerful image editing softwares, forgers can tamper the image content easily. There are various types of image forgery, such as image splicing and region duplication forgery. Region duplication is one of the most common manipulations used for tampering digital images. It is vital in image forensics to authenticate the digital image. In this paper, a novel region duplication forgery detection approach is proposed. By segmenting the input image based on the colour features, sufficient number of centroids are produced, that exist even in small or smooth regions. Then, the Least Significant Bit (LSB) of all the colours of pixels in each segment are extracted to build the signature vector. Finally, the hamming distance is calculated through exploiting the signature vector of image to find the dissimilarity. Various experimental results are provided to demonstrate the superior performance of the proposed scheme under some post processing operations such as scaling attack.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

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Detection of Scaled Region Duplication Image Forgery using Color based Segmentation with LSB Signature

Diaa¹,

Mohammed²

2017

ijacsa

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“…The watermark embedding method in [12] is used to embed the recovery watermark. The significant watermark S 0 i and detail watermark D 0 i are embedded in the 2 nd -7 th and 8 th -12 th quantized DCT coefficients in the selected blocks by the user key key 2 .…”

Section: Watermark Embeddingmentioning

confidence: 99%

“…X i (i = 1, 2, …, N) is the DCT matrix for watermark embedding. The detail of watermark embedding can be referred to the embedding method of CAW (collage attack watermark) in [12]. P = {p t, i | t = 1, 2, i = 1, 2, …, N} is the embedding position.…”

Section: Watermark Embeddingmentioning

confidence: 99%

A Restorable Semi-fragile Watermarking Combined DCT with Interpolation

Huo

Fan

2014

Digital-Forensics and Watermarking

Self Cite

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Abstract. In this paper, a semi-fragile watermarking with interpolation method is proposed to improve recovery performance with less recovery watermark capacity. The original image is 2-fold down sampled to reduce the watermark payload and DCT (Discrete Cosine Transformation) is calculated on each 4 9 4 block in the down-sampled image. The DC coefficient and first two AC coefficients in each 4 9 4 block are quantized by selected quantized steps respectively and encoded with 11 bits to generate the recovery watermark corresponding to 8 9 8 block in the original image. The recovery watermark of each 8 9 8 block is embedded in the quantized DCT coefficients of other blocks. At the recovery side, the low resolution image is firstly reconstructed by the extracted valid recovery watermark and the high resolution one is reconstructed by the interpolation method based on the low resolution one. The tampered blocks are recovered by the corresponding blocks in the high resolution image. The image inpainting method is also used to recover the tampering coincident blocks. Experimental results show that the proposed restorable semi-fragile watermarking method can achieve better recovery performance under JPEG (Joint Photographic Experts Group) compression with superior invisibility.

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A recoverable chaos‐based fragile watermarking with high PSNR preservation

Xiao

Hong

et al. 2016

Security Comm Networks

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The preservation of high peak signal‐to‐noise ratio of the watermarked image is required in some applications. The chaos‐based fragile watermarking proposed by Rawat et al. in 2011 can meet this requirement, for only one LSB plane of the original image is modified by the watermark data. However, there are three drawbacks in the original scheme: (i) insecurity, the host image can be tampered without being detected; (ii) the detected tampered area is incomplete; and (iii) the most important thing is that the tampered area is unrecoverable. Enlightened by the work of Rawat et al., we propose a new recoverable chaos‐based fragile watermarking scheme, in which all of the drawbacks in the original scheme have been overcome, while the size of the watermark is unchanged, therefore the high peak signal‐to‐noise ratio characteristic can be preserved. The chaotic map is used to ensure the security; the idea of block dividing is adopted to improve the tamper detection and to make storage space for the recovery data embedding; and the border matching recovery based on vector quantization is proposed to improve the recovery result of the target image. Experiments show that our method is secure and recoverable, and the recovery ability is extremely satisfactory. Copyright © 2016 John Wiley & Sons, Ltd.

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A semi-fragile image watermarking algorithm with two-stage detection

Cited by 29 publications

References 14 publications

Detection of Scaled Region Duplication Image Forgery using Color based Segmentation with LSB Signature

Detection of Scaled Region Duplication Image Forgery using Color based Segmentation with LSB Signature

A Restorable Semi-fragile Watermarking Combined DCT with Interpolation

A recoverable chaos‐based fragile watermarking with high PSNR preservation

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