Fast intelligent watermarking of heterogeneous image streams through mixture modeling of PSO populations

Vellasques, Eduardo; Sabourin, Robert; Granger, Éric

doi:10.1016/j.asoc.2012.08.040

Cited by 18 publications

(8 citation statements)

References 25 publications

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“…Also, the performance of data hiding schemes depends on the locations in cover media and the data to be hidden. To find the solution of all these problems many researchers have developed intelligent data hiding schemes [6,71,72,108,99,116]. It is expected that intelligent data hiding schemes have better results in terms of robustness, transparency or tradeoff between them.…”

Section: Application Of Artificial Intelligence In Data Hidingmentioning

confidence: 99%

“…In the last two decades, artificial intelligence (AI) techniques such as evolutionary algorithms (EAs), support vector machine, fuzzy logic and neural networks have played an important role in data hiding [25,71,72,83,95,94,99,105,116,121] for improving the performance. Under the category of evolutionary algorithms, genetic algorithm (GA) [7,23,25,47,71,72,81], particle swarm optimization (PSO) [53,85,94,99,108], differential evolution (DE) [4,6,2,8,52], Firefly algorithm [76], and artificial bee colony (ABC) [5] have made numerous valuable contributions to the field of data hiding. An image watermarking technique which uses a GA to find the optimal scaling factors for watermark insertion is designed by Lai [47].…”

Section: Application Of Artificial Intelligence In Data Hidingmentioning

confidence: 99%

See 1 more Smart Citation

Data Hiding Schemes: A Survey

Ali¹,

Ahn²,

Pant³

2016

Gate to Computer Science and Research

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Data hiding is the process of hiding an amount of data, called secret message or watermark, into a cover media that may be audio, video, or image signal, in an imperceptible way for different purposes. Due to the advances in generation, storage, and communication technology of digital media, the necessity and importance of data hiding has drawn the attention of many researchers all over the world resulting in a lot of variants of data hiding scheme. This chapter provides a detailed review of the basic concepts of data hiding and a survey of its major variants developed so far. The chapter classifies the data hiding schemes based on several aspects of data hiding comprising artificial intelligence. Furthermore, the chapter also provides the recommendations to the interested users for further research. This review may be a useful insight and a good source for the users who are interested in the application of artificial intelligence in data hiding.

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Section: Application Of Artificial Intelligence In Data Hidingmentioning

confidence: 99%

Section: Application Of Artificial Intelligence In Data Hidingmentioning

confidence: 99%

Data Hiding Schemes: A Survey

Ali¹,

Ahn²,

Pant³

2016

Gate to Computer Science and Research

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“…E. Vellasques et al presented the caption of image stream watermarking [11], and solved multi-layers duotone image stream watermarking used dynamic optimization. Then, E. Vellasques proposed an improved fast watermarking algorithm of image stream based on dynamic particle swarm optimization of Gaussian mixture model.…”

Section: Fast Watermarking For Image Streammentioning

confidence: 99%

“…So fast watermarking applied in security authentication of static images for traffic system should satisfy instantaneity and fast realization. Now, studies on fast watermarking of static images are relatively rare, and fall into three categories such as regionalism theory-based (blocking and layering) [8,9], feature extraction theory-based (reversible comparison mapping and query table) [10] and convergence simplification theory-based (particle swarm, dynamic particle swarm, quantum theory, evolution theory and quantum evolution theory) [11].…”

Section: Fast Watermarking Algorithm Of Traffic Imagesmentioning

confidence: 99%

Fast Watermarking of Traffic Images Secure Transmission in Effective Representation Mode

Ren¹,

Lei²,

Zhang³

et al. 2014

Appl. Math. Inf. Sci.

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Abstract:A static image secure transmission in effective representation mode for transportation systems was advanced based on fast watermarking theory. Firstly, the characteristics of image stream recognition in intelligent transportation system were analyzed and traffic image stream reorganization model was constructed. Then, according to effective representation mode, fast watermarking algorithms of image stream for intelligent transportation system were proposed, such as feature extraction-, compressive sensing-and sparse representation-based algorithms and detailed introduction of the first algorithm was given. Finally, referring to the evaluation criterion of digital watermarking and features of traffic static image, the performance of the above three algorithms are evaluated. The study shows that these three algorithms can satisfy different feature demands for traffic image secure transmission.

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“…PSO is gaining more and more attention due to its fast convergence rate, simple algorithmic structure and strong global optimization capability. It has been applied to solve varieties of optimization problems successfully [15][16][17].…”

Section: Introductionmentioning

confidence: 99%

An Optimization Clustering Algorithm Based on Texture Feature Fusion for Color Image Segmentation

2015

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Abstract:We introduce a multi-feature optimization clustering algorithm for color image segmentation. The local binary pattern, the mean of the min-max difference, and the color components are combined as feature vectors to describe the magnitude change of grey value and the contrastive information of neighbor pixels. In clustering stage, it gets the initial clustering center and avoids getting into local optimization by adding mutation operator of genetic algorithm to particle swarm optimization. Compared with well-known methods, the proposed method has an overall better segmentation performance and can segment image more accurately by evaluating the ratio of misclassification.

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Fast intelligent watermarking of heterogeneous image streams through mixture modeling of PSO populations

Cited by 18 publications

References 25 publications

Data Hiding Schemes: A Survey

Data Hiding Schemes: A Survey

Fast Watermarking of Traffic Images Secure Transmission in Effective Representation Mode

An Optimization Clustering Algorithm Based on Texture Feature Fusion for Color Image Segmentation

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