A robust watermarking algorithm based on salient image features

Chen, Chun‐Hung; Tang, Yuan-Liang; Wang, Chih-Peng; Hsieh, Wen-Shyong

doi:10.1016/j.ijleo.2013.07.126

Cited by 21 publications

(16 citation statements)

References 19 publications

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“…In order to test the imperceptibility and capacity of the devised lossless watermarking technology, based on MB software, the watermark performance test was carried out, and the literature [5] and the literature [7] were used as the control group to reflect the superiority of the watermarking technique. The experimental conditions are: DELL, 3.5GHZ, dual-core CPU, 500GB hard drive and 8G memory.…”

Section: ⅵ Simulation Results and Analysismentioning

confidence: 99%

“…In order to describe the mixed binary system in detail, the decimal integer 314 is taken as an example, which can be represented as (6), it is changed into integer q ; then, through formula (7) and formula (8), q is changed into different cardinals and values.…”

Section: Hybrid Binary Systemmentioning

confidence: 99%

“…Sex. Xiong Xiangguang et al [7] presented a robust adaptive watermarking project based on LWT-SVD. Firstly, the watermark information is encrypted, and the original carrier image is not overlapped, and the watermark data embedding mechanism is designed.…”

Section: Introductionmentioning

confidence: 99%

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Lossless Watermarking Algorithm Based on Multiple-Base Notational System and Pixel Difference

Song¹,

Kang²,

Cao³

2021

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In order to identify the authenticity of the industrial packaging, the solution to the current watermark technology is mainly to embed the same watermark capacity into each pixel value in the image, so that the watermark capacity is small, and the anti-distortion performance is not good. Data watermarking algorithm based on system and pixel difference. First divide the carrier image into non-overlapping sub-blocks, and calculate the pixel difference of each sub-block; introduce a hybrid system to obtain different bases. According to the pixel difference, the base selection rule is defined; considering the human visual characteristics, the pixel interval adaptive adjustment mechanism is designed to improve the coding technology and complete the watermark information embedding; finally, the watermark information extraction mechanism is established to restore the watermark. The experimental results show that compared with the current data watermarking algorithm, the proposed algorithm has ideal imperceptibility, as well as larger watermark capacity and lower distortion.

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Section: ⅵ Simulation Results and Analysismentioning

confidence: 99%

Section: Hybrid Binary Systemmentioning

confidence: 99%

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Lossless Watermarking Algorithm Based on Multiple-Base Notational System and Pixel Difference

Song¹,

Kang²,

Cao³

2021

converter

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“…Usually, the embedding processes can be categorized as those in the space and transform domain, and each can be implemented by means of additive, multiplicative, and quantization-based one, and so forth [1][2][3][4].…”

Section: Introductionmentioning

confidence: 99%

NSCT Domain Additive Watermark Detection Using RAO Hypothesis Test and Cauchy Distribution

Liu

et al. 2016

Mathematical Problems in Engineering

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We presented a RAO hypothesis detector by modeling Cauchy distribution for the Nonsubsampled Contourlet Transform (NSCT) subband coefficients in the field of additive spread spectrum image watermarking. Firstly, the NSCT subband coefficients were modeled following the Cauchy distributions, and the Fit of Goodness shows that Cauchy distribution fits the NSCT subband coefficients more accurately than the Generalized Gaussian Distribution (GGD) commonly used. Secondly, a blind RAO test watermark detector was derived in the NSCT domain, which does not need the knowledge of embedding strength at the receiving end. Finally, compared to the other three state-of-art detectors, the robustness of the proposed watermarking scheme was evaluated when the watermarked images were attacked by JPEG compression, random noise, low pass filtering, and median filtering. Experimental results show that, compared with the other three detectors, the proposed RAO detector guarantees the lower probability of miss under the given probability of false alarm.

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“…Experimental work shows the robustness of proposed scheme against various image processing attacks. Another watermarking algorithm robust against geometric attacks, based on image features is proposed in [20]. In this scheme, Watermark is embedded in the areas represented by the salient features of the image.…”

Section: Introductionmentioning

confidence: 99%

Robust Adaptive Watermarking Based on Image Contents Using Wavelet Technique

Verma¹,

Patvardhan²,

Lakshmi³

2015

IJIGSP

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A good watermarking scheme should be able to perform equally well on all types of images irrespective of image contents because practically watermarking has to be applied to images of all types. In this paper, it is shown that in wavelet based spread spectrum technique, watermarking at level 1 decomposition is better for textured images while watermarking at level 2 decomposition is better for nontextured images to achieve maximum robustness against various types of attacks. The proposed wavelet decomposition level selection algorithm utilizes the edge histogram to classify the host image as textured or nontextured image and automatically selects the level of decomposition for robust watermarking. The use of Spread Spectrum watermarking technique and Bior6.8 wavelet, results better robustness. Performance of the proposed scheme and its relative effectiveness is demonstrated on both categories of images under different attacks.

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A robust watermarking algorithm based on salient image features

Cited by 21 publications

References 19 publications

Lossless Watermarking Algorithm Based on Multiple-Base Notational System and Pixel Difference

Lossless Watermarking Algorithm Based on Multiple-Base Notational System and Pixel Difference

NSCT Domain Additive Watermark Detection Using RAO Hypothesis Test and Cauchy Distribution

Robust Adaptive Watermarking Based on Image Contents Using Wavelet Technique

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