Authentication and recovery for wavelet-based semifragile watermarking

Tsai, Min-Jen

doi:10.1117/1.2947580

Cited by 12 publications

(46 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For semi-fragile self-recoverable watermarking, some popular schemes have been developed [3,4,11,15,21,28,33,43]. These schemes can be classified into two categories based on the methods and functionalities of embedded watermarks.…”

Section: Related Workmentioning

confidence: 99%

“…The first category embeds both authentication watermarks and recovery watermarks into host image. In [33], the authors proposed a wavelet-based semi-fragile self-recoverable watermarking scheme in which authentication watermarks are generated independently from image content and recovery watermarks are generated from low-frequency bands of the given image. Then, the authentication and recovery watermarks are embedded into mid-frequency and highfrequency bands, respectively, based on the intuition inspired by the human visual system.…”

Section: Related Workmentioning

confidence: 99%

“…Suppose the proportion of the tampered region a is in [0.01, 0.6] with an interval of 0.01. For each a, region tampering is conducted 20 times, and the average value for P f r and P f a is obtained by using Chamlawi et al [3], Tsai et al [33], Phadikar et al [28], Li et al [17], SARM and Our method. The simulation results are shown on Fig.…”

Section: Malicious Tampering and Localizationmentioning

confidence: 99%

“…The simulation results are shown on Fig. 8a and b. Chamlawi et al [3], Tsai et al [33], Li et al [17], SARM and Our method localize the tampered region with low false rejection probability (Fig. 8a).…”

Section: Malicious Tampering and Localizationmentioning

confidence: 99%

“…If a watermarked image suffers from modification, the self-recoverable watermarking scheme can localize the tampered region and recover the region by using hidden information in the image [3,4,9,11,12,14,15,18,19,21,22,27,28,31,33,42,43]. The self-recoverable fragile watermarking scheme does not need to tolerate content-preservation manipulations.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Semi-fragile self-recoverable watermarking algorithm based on wavelet group quantization and double authentication

Zhang

Liu

et al. 2014

Multimed Tools Appl

View full text Add to dashboard Cite

Semi-fragile self-recoverable watermarking algorithms are important to meet various requirements such as security, robustness, localization, and image recovery. However, current approaches are not adequate for this importance. Thus, we propose a novel semi-fragile and self-recoverable watermarking algorithm based on a group quantization and double authentication method. In the proposed algorithm, a target image is first split into 16×16 image blocks. For each image block, a five-bit authentication watermark is generated from the first-order statistical moment of the block and then is embedded into the mid-frequency band of another image block by a novel groupbased wavelet quantization method. With the generated watermarks, image security is enhanced by randomly permuting coefficients among a group and image robustness is improved by embedding the watermark in the largest coefficient inside a sub-group by significant difference parity quantization. The proposed double authentication ring structure effectively improves the image localization accuracy. Recovered image is a better approximate to the original image. Experimental comparisons of ours with other algorithms shows the effectiveness of the proposed self-recoverable and semi-fragile watermarking algorithm.

show abstract

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Malicious Tampering and Localizationmentioning

confidence: 99%

Section: Malicious Tampering and Localizationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Semi-fragile self-recoverable watermarking algorithm based on wavelet group quantization and double authentication

Zhang

Liu

et al. 2014

Multimed Tools Appl

View full text Add to dashboard Cite

show abstract

An efficient fragile watermarking scheme with multilevel tamper detection and recovery based on dynamic domain selection

Singh

Agarwal

2015

Multimed Tools Appl

View full text Add to dashboard Cite

Self-recoverable fragile watermarking is meant for accurate tamper localization as well as image recovery with superior visual quality. However, most of the existing state of art approaches perform authentication and recovery on block basis owing to which the entire block is categorized as tampered in case of alteration of one or more pixels of it. This, results in staircase formation of tamper detected regions, hence lacking in accuracy. Furthermore, the visual quality of the recovered image also deteriorates as an approximate value is assigned to all the block pixels corresponding to the altered region. The proposed watermarking scheme performs both authentication and recovery pixelwise. The authentication of each pixel is done via multi level tamper detection(MLTD) through three authentication bits based on value, location and neighbourhood information. The domain for image recovery is chosen dynamically based on the content of the block, may it be in spatial domain for smooth blocks or frequency domain for the rough ones. This provides high accuracy in recovery. As the embedding of recovery information is done in the frequency domain, the imperceptibility of the watermarked image scheme remains high. Also, embedding of authentication information in the spatial domain maintains its fragile nature. Even for higher tampering ratios, the lost content is rebuilt with high peak signal to noise ratio(PSNR) of the recovered image. The probabilities of false rejection and false acceptance head towards the ideal value for most of the empirical analysis. Comparative study via metric evaluation of probability of false rejection (PFR), probability of false acceptance (PFA) and PSNR of recovered image for different standard test cover images demonstrate the efficacy of the proposed scheme over other existing state of art approaches. Further, the security of the proposed scheme remains high due to usage of multi-layered secret keys and chaos based random mapping handling worst tamper scenarios.

show abstract

An image authentication and recovery system based on discrete wavelet transform and convolutional neural networks

Fan

Tsai

et al. 2021

Multimed Tools Appl

View full text Add to dashboard Cite

Authentication and recovery for wavelet-based semifragile watermarking

Cited by 12 publications

References 16 publications

Semi-fragile self-recoverable watermarking algorithm based on wavelet group quantization and double authentication

Semi-fragile self-recoverable watermarking algorithm based on wavelet group quantization and double authentication

An efficient fragile watermarking scheme with multilevel tamper detection and recovery based on dynamic domain selection

An image authentication and recovery system based on discrete wavelet transform and convolutional neural networks

Contact Info

Product

Resources

About