Spatial Domain Digital Watermarking of Multimedia Objects for Buyer Authentication

Mukherjee, Dipti Prasad; Maitra, Subhamoy; Acton, Scott T.

doi:10.1109/tmm.2003.819759

Cited by 128 publications

(64 citation statements)

References 9 publications

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“…There are various watermarking techniques for embedding data into the image. They may be divided into spatial domain techniques [3], [4] and frequency domain techniques [1], [5], [6], [7]. Although techniques in the spatial domain have the lowest complexity and large load capacity, they cannot withstand attacks such as image processing and low-pass filtering [8].…”

Section: Related Workmentioning

confidence: 99%

Digital Image Watermarking Techniques and Biometrics Data Security: A Review

Adamović¹

2017

Proceedings of the International Scientific Conference - Sinteza 2017

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Abstract:In this study, we review digital watermarking techniques used for protection of biometrical data in authentication services based on biometry. In addition to the development of protection biometrical templates, there has been a breakthrough in additional privacy protection within biometrical systems that perform authentication without preserving biometry in their databases. We begin with theoretical foundations of digital watermark and biometry and then review current research advances in this area, which combine the two technologies and thus create a new ground for exploration better known as biometrical watermarking.

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Section: Related Workmentioning

confidence: 99%

Digital Image Watermarking Techniques and Biometrics Data Security: A Review

Adamović¹

2017

Proceedings of the International Scientific Conference - Sinteza 2017

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“…The spatial domain watermarking algorithms [3,4]mainly embed the watermark by modulating the image pixels or altering its gray values directly, such as the least significant bit (LSB) and so on. These algorithms are fragile to manipulations, but they have little computation work and can be easily implemented.…”

Section: Introductionsmentioning

confidence: 99%

Multi-objective Particle Swarm Optimization Based Image Watermarking Scheme

Wang

Chen

et al. 2017

MATEC Web Conf.

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Abstract.A novel image watermarking scheme based on the statistics of the blocked DCT coefficients. The watermark is embedded into the middle frequency of those DCT coefficients by modulating the number of those positive and negative coefficients. In order to achieve better robustness and imperceptibility, multi-objective particle swarm optimization (MPSO) has been used in the watermark embedding and extracting procedure. The particle swarm optimization is applied to obtain optimum multiple scaling factors and the embedding strength. The experimental results show that the proposed scheme has significant improvement in term of imperceptibility and robustness under various general attacks.

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“…Also watermarking can be categorized from another point of view into three groups fragile, semi fragile and robust, where fragile means the watermark can be lost or corrupted after applying any type of image processing attacks, semi fragile the watermark resist only light attacks such as compression, and robust watermarking is when the watermark resist all common processing attacks and the last factor that watermarking schemes can be categorized about is blindness, a non blind watermarking schemes is when the original image is required for the extraction of the watermark, semi blind is when a part of an image is required and a blind scheme is when we don't need the original image or a part of it to recover the watermark only a key can be required in some cases. The watermarking schemes in [1][2][3][4] are in spatial domain they are robust against geometrical attacks but they suffer from the poor capacity of data embedding, this drawback led other researchers to propose watermarking schemes in frequency domain [5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24], most of those methods are semi or non blind like [5,6,7,8,9,13,14,19] which means the host image is required in the extraction procedure, also some methods has a good robustness but they don't offer a good transparency like [13,14,16,19]. In most applications of watermarking the main concern has been the robustness against common digital attacks but usually resolving rightful ownership deadlock is ign...…”

Section: Introductionmentioning

confidence: 99%