Genetic perceptual shaping: Utilizing cover image and conceivable attack information during watermark embedding

Khan, Asifullah; Mirza, Anwar M.

doi:10.1016/j.inffus.2005.09.007

Cited by 72 publications

(25 citation statements)

References 29 publications

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“…The requirements for fulfilling desired characteristics and for succeeding against attacks are mutually conflicting [Heileman et al 1999;Servette et al 1998]. Several benchmark suites for testing performance robustness that combine many possible attacks into a unified framework are available [Voloshynovskiy et al 2001;Guitart et al 2006;Khan and Mirza 2007;Kutter and Petitcolas 1999].…”

Section: Introductionmentioning

confidence: 99%

Invisible watermarking based on creation and robust insertion-extraction of image adaptive watermarks

Mohanty

Bhargava

2008

ACM Trans. Multimedia Comput. Commun. Appl.

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This paper presents a novel invisible robust watermarking scheme for embedding and extracting a digital watermark in an image. The novelty lies in determining a perceptually important subimage in the host image. Invisible insertion of the watermark is performed in the most significant region of the host image such that tampering of that portion with an intention to remove or destroy will degrade the esthetic quality and value of the image. One feature of the algorithm is that this sub-image is used as a region of interest for the watermarking process and eliminates the chance of watermark removal. Another feature of the algorithm is the creation of a compound watermark using the input user watermark (logo) and attributes of the host image. This facilitates the homogeneous fusion of a watermark with the cover image, preserves the quality of the host image, and allows robust insertion-extraction. Watermark creation consists of two distinct phases. During the first phase, a statistical image is synthesized from a perceptually important sub-image of the image. A compound watermark is created by embedding a watermark (logo) into the statistical synthetic image by using a visible watermarking technique. This compound watermark is invisibly embedded into the important block of the host image. The authentication process involves extraction of the perceptive logo as well statistical testing for two-layer evidence. Results of the experimentation using standard benchmarks demonstrates the robustness and efficacy of the proposed watermarking approach. Ownership proof could be established under various hostile attacks.

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Section: Introductionmentioning

confidence: 99%

Invisible watermarking based on creation and robust insertion-extraction of image adaptive watermarks

Mohanty

Bhargava

2008

ACM Trans. Multimedia Comput. Commun. Appl.

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“…The basic principle is to evolve a population of potential embedding parameters through time using a mix of robustness and quality metrics as objective function [8][9][10][11][12][13][14][15][16][17]. Genetic programming has also been proposed in a similar context [18]. Such EC-based approaches are not feasible in high data rate applications because of their high computational cost [10], mainly because the optimization of a single image may require hundreds of thousands of embedding and detection operations [12][13][14].…”

Section: Page 2 Of 33mentioning

confidence: 99%

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

Vellasques

Sabourin

Granger

2011

Applied Soft Computing

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In intelligent watermarking of document images, evolutionary computing (EC) techniques are employed in order to determine embedding parameters of digital watermarking systems such that the trade-off between watermark robustness and image fidelity is optimized. However, existing techniques for intelligent watermarking rely on full optimization of embedding parameters for each image. This approach does not apply to high data rate applications due to its high computational complexity.In this paper, a novel intelligent watermarking technique based on Dynamic Particle Swarm Optimization (DPSO) is proposed. Intelligent watermarking of bi-tonal image streams is formulated as a dynamic optimization problem. This population-based technique allows to evolve a diversified set of solutions (i.e., embedding parameters) to an optimization problem, and solutions from previous optimizations are archived and re-considered prior to triggering new optimizations. In such case, costly optimization may be replaced by direct recall of quasi identical solutions. Simulations involving the intelligent watermarking of several long streams of homogeneous PDF document images resulted in a decrease of computational burden (number of fitness evaluations) of up to 97.2% with a negligible impact on accuracy.

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“…In a watermarking system, there is an intrinsic relationship between three of its contradicting attributes: (1) robustness, (2) imperceptibility, and (3) capacity. Imperceptibility means that the watermarked data should be perceptually equivalent to the original data.…”

Section: Introductionmentioning

confidence: 99%

“…Imperceptibility means that the watermarked data should be perceptually equivalent to the original data. On the other hand, robustness means that the watermark should be undetectable, unless that damages the usefulness of the original data [2]. Capacity refers to the maximum length of the message that can be hidden in the host image.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Watermarking Scheme for image Authentication and Recovery

Ullah¹,

Alquhayz²

2017

ijacsa

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Abstract-Recently, researchers have proposed semi-fragile watermarking techniques with the additional capability of image recovery. However, these approaches have certain limitations with respect to capacity, imperceptibility, and robustness. In this paper, we are proposing two independent watermarks, one for image recovery and the other for authentication. The first watermark (image digest), a highly compressed version of the original image itself, is used to recover the distorted image. Unlike the traditional quantisation matrix, genetic programming based matrices are used for compression purposes. These matrices are based on the local characteristics of the original image. Furthermore, a second watermark, which is a pseudorandom binary matrix, is generated to authenticate the host image precisely. Experimental results show that the semi-fragility of the watermarks makes the proposed scheme tolerant of JPEG lossy compression and it locates the tampered regions accurately.

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Genetic perceptual shaping: Utilizing cover image and conceivable attack information during watermark embedding

Cited by 72 publications

References 29 publications

Invisible watermarking based on creation and robust insertion-extraction of image adaptive watermarks

Invisible watermarking based on creation and robust insertion-extraction of image adaptive watermarks

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

Intelligent Watermarking Scheme for image Authentication and Recovery

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