A high throughput system for intelligent watermarking of bi-tonal images

Vellasques, Eduardo; Sabourin, Robert; Granger, Éric

doi:10.1016/j.asoc.2011.05.038

Cited by 17 publications

(6 citation statements)

References 41 publications

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“…Experiments were performed on Bubble, Lena and Cameraman images. In table (1), the image transparency level in the two methods after watermarking is shown, and in table (2), image resistance to attacks is shown. The attacks tested in both methods include JPEG40 compression attacks and median filtering [10].…”

Section: Results Of Implementation Of the Proposed Intelligent Scmentioning

confidence: 99%

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Intelligent Image Watermarking based on Handwritten Signature

Shahmoradi¹,

Sahragard²,

Hatam³

2016

ijacsa

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Abstract-With the growth of digital technology over the past decades, the issue of copyright protection has become especially important. Digital watermarking is a suitable way of addressing this issue. The main problem in the area of watermarking, is the balance between image transparency and resistance to attacks after watermarking, where an increase in either one of them will always cause a decrease in the other. Providing statistical and intelligent methods, is the most common way of optimizing resistance and transparency. In this paper, the intelligent method of genetic algorithm (GA) in watermarking will be examined and also the results of using this method will be compared with the results of a statistical SVD-based method. Also, by combining the issues of watermarking and authentication, a relatively higher security in these two issues can be achieved. In this scheme, the security of watermarking increases through the provision of a new method which is based on the combination of image watermarking with a person's handwritten signature. It must be mentioned that the section of signature recognition is implemented using neural networks. The results from implementing these two methods show that in this area, intelligent methods have a better performance compared to statistical methods. This method can also be used for tasks like passport or national identity card authentication.

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Section: Results Of Implementation Of the Proposed Intelligent Scmentioning

confidence: 99%

“…The proposed algorithm in this scheme for intelligent watermarking is based on GA and the HVS. This scheme is an adaptive watermarking method in the area of the discrete cosine transform (DCT) for digital images [2].…”

Section: Introductionmentioning

confidence: 99%

Intelligent Image Watermarking based on Handwritten Signature

Shahmoradi¹,

Sahragard²,

Hatam³

2016

ijacsa

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“…This methodology is helpful for users to check whether their PDF documents include privacy information prior to transmitting it via the Internet. Vellasques et al [32] presented an intelligent watermarking technique based on particle swarm optimization for bi-tonal (or binary) images. They intended a watermarking application of streams of documents images.…”

Section: Related Workmentioning

confidence: 99%

Normalized blind STDM watermarking scheme for images and PDF documents robust against fixed gain attack

Hatoum

Darazi

Couchot

2019

Multimed Tools Appl

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Spread Transform Dither Modulation (STDM), a special case of Quantization Index Modulation (QIM), has been widely used in digital watermarking. STDM has good performance in robustness against re-quantization and random noise attacks, but it is largely vulnerable to the Fixed Gain Attack (FGA). In addition to digital images and videos watermarking applications, copyright protection for digital text such as Portable Document Format (PDF) has received particular attention and interest. In this paper, we modify the STDM watermarking scheme by making the quantization step dependent on the original samples during the embedding process and on the watermarked samples during the decoding process to resist the FGA attack and enhance the robustness against the Additive White Gaussian Noise (AWGN) attack and JPEG compression attack in both the spatial domain and frequency domain regardless of the source of elements used as cover work. Experimentations have been conducted distinctly on digital images and text PDF documents. The tested images were watermarked with a uniform fidelity, where SSIM is fixed to 0.982 and 0.953. Our approach achieves significant robustness against the FGA attack with an improvement of 98% in terms of Bit Error Rates (BER) compared to traditional STDM. As for the AWGN attack, an improvement of 21% is shown. The proposed method also presents robustness against a variety of filtering and geometric attacks, while preserving a high level of transparency.

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“…The interest in optimization under dynamic environments have been growing over the years due to the fact that many real-world decisions and design problems belong to this category, such as trade market prediction, meteorological forecast, robotics motion control, computational protein design [1], intelligent watermarking in document images [2], and vehicle routing problems [3]. Common applications of dynamic optimization problems include: power system scheduling, production scheduling, and moving objects scheduling.…”

Section: Introductionmentioning

confidence: 99%

“…Vellasques et al [2] proposed a series of memory-based dynamic PSO to deal with recurrent optimization problems. The basic idea is to build a comprehensive model of the stream of optimization problems by using representative problem instances [31].…”

Section: Introductionmentioning

confidence: 99%

Landscape-Based Similarity Check Strategy for Dynamic Optimization Problems

Elsayed

Sarker

et al. 2020

IEEE Access

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In many real-world decision problems, there are specific objective, decision variables, conditions, data and/or parameters that may vary over time. When these problems are solved through an optimization process, they are generally known as dynamic optimization. Dynamic optimization is a challenging research topic as the optimal solution usually moves with any change in the problem environment. In locating the optimal point in any optimization problems, the effectiveness of the search process is influenced by the nature of the problem landscape. In order to improve the effectiveness of the search process, in this paper, a new approach is developed by integrating a landscape-based strategy with appropriately designed evolutionary algorithms for solving dynamic problems. The proposed approach is named as Landscape Influenced Dynamic Optimization Algorithm (LIDOA). LIDOA checks the similarity before and after the changed environment which is then used as an input to guide the evolutionary search process. The dynamic benchmark functions from IEEE-CEC2009 are solved using LIDOA. LIDOA was able to enhance the performance of the evolutionary algorithms in their adaptation to dynamic changes, which in turn enhanced their ability to attain better results.

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A high throughput system for intelligent watermarking of bi-tonal images

Cited by 17 publications

References 41 publications

Intelligent Image Watermarking based on Handwritten Signature

Intelligent Image Watermarking based on Handwritten Signature

Normalized blind STDM watermarking scheme for images and PDF documents robust against fixed gain attack

Landscape-Based Similarity Check Strategy for Dynamic Optimization Problems

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