dor_id: 45738

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351.#.#.b: Journal of Applied Research and Technology

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856.4.0.u: https://jart.icat.unam.mx/index.php/jart/article/view/190/187

100.1.#.a: Jane, O.; Elbaşi, E.; H. G., İlk

524.#.#.a: Jane, O., et al. (2014). Hybrid Non-Blind Watermarking Based on DWT and SVD. Journal of Applied Research and Technology; Vol. 12 Núm. 4. Recuperado de https://repositorio.unam.mx/contenidos/45738

245.1.0.a: Hybrid Non-Blind Watermarking Based on DWT and SVD

502.#.#.c: Universidad Nacional Autónoma de México

561.1.#.a: Instituto de Ciencias Aplicadas y Tecnología, UNAM

264.#.0.c: 2014

264.#.1.c: 2014-08-01

653.#.#.a: Digital image watermarking; discrete wavelet transform; singular value decomposition; peak signal-to-noise ratio; normalized similarity ratio; non-blind watermarking; multimedia security

506.1.#.a: La titularidad de los derechos patrimoniales de esta obra pertenece a las instituciones editoras. Su uso se rige por una licencia Creative Commons BY-NC-SA 4.0 Internacional, https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode.es, para un uso diferente consultar al responsable jurídico del repositorio por medio del correo electrónico gabriel.ascanio@icat.unam.mx

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041.#.7.h: eng

520.3.#.a: Watermarking is identified as a major technology to achieve copyright protection and multimedia security. Therefore,recent studies in literature include some evident approaches for embedding data into a multimedia element. Becauseof its useful frequency component separation, the Discrete Wavelet Transform (DWT) is commonly used inwatermarking schemes. In a DWT-based scheme, the DWT coefficients are modified with the data that represents thewatermark. In this paper, we present a hybrid non-blind scheme based on DWT and Singular Value Decomposition(SVD). After decomposing the cover image into four sub bands (LL, HL, LH and HH), we apply the SVD to LL bandand modify diagonal singular value coefficients with the watermark itself by using a scaling factor. Finally, LL bandcoefficients are reconstructed with modified singular values and inverse DWT is applied to obtain watermarked image.Experimental results show that the proposed algorithm is considerably robust and reliable. In comparison to theprevious literature, peak signal-to-noise ratio (PSNR) values of watermarked images are increased by approximately20%. In terms of PSNR values before and after attacks and of normalized similarity ratio (NSR); although watermarkis embedded into LL sub band; our proposed method gives much more satisfactory results on filtering, scaling,Gaussian, JPEG compression, rotation and cropping than that of previous literature.

773.1.#.t: Journal of Applied Research and Technology; Vol. 12 Núm. 4

773.1.#.o: https://jart.icat.unam.mx/index.php/jart

022.#.#.a: ISSN electrónico: 2448-6736; ISSN: 1665-6423

310.#.#.a: Bimestral

264.#.1.b: Instituto de Ciencias Aplicadas y Tecnología, UNAM

doi: https://doi.org/10.1016/S1665-6423(14)70091-4

harvesting_date: 2023-11-08 13:10:00.0

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last_modified: 2024-03-19 14:00:00

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Artículo

Hybrid Non-Blind Watermarking Based on DWT and SVD

Jane, O.; Elbaşi, E.; H. G., İlk

Instituto de Ciencias Aplicadas y Tecnología, UNAM, publicado en Journal of Applied Research and Technology, y cosechado de Revistas UNAM

Licencia de uso

Procedencia del contenido

Cita

Jane, O., et al. (2014). Hybrid Non-Blind Watermarking Based on DWT and SVD. Journal of Applied Research and Technology; Vol. 12 Núm. 4. Recuperado de https://repositorio.unam.mx/contenidos/45738

Descripción del recurso

Autor(es)
Jane, O.; Elbaşi, E.; H. G., İlk
Tipo
Artículo de Investigación
Área del conocimiento
Ingenierías
Título
Hybrid Non-Blind Watermarking Based on DWT and SVD
Fecha
2014-08-01
Resumen
Watermarking is identified as a major technology to achieve copyright protection and multimedia security. Therefore,recent studies in literature include some evident approaches for embedding data into a multimedia element. Becauseof its useful frequency component separation, the Discrete Wavelet Transform (DWT) is commonly used inwatermarking schemes. In a DWT-based scheme, the DWT coefficients are modified with the data that represents thewatermark. In this paper, we present a hybrid non-blind scheme based on DWT and Singular Value Decomposition(SVD). After decomposing the cover image into four sub bands (LL, HL, LH and HH), we apply the SVD to LL bandand modify diagonal singular value coefficients with the watermark itself by using a scaling factor. Finally, LL bandcoefficients are reconstructed with modified singular values and inverse DWT is applied to obtain watermarked image.Experimental results show that the proposed algorithm is considerably robust and reliable. In comparison to theprevious literature, peak signal-to-noise ratio (PSNR) values of watermarked images are increased by approximately20%. In terms of PSNR values before and after attacks and of normalized similarity ratio (NSR); although watermarkis embedded into LL sub band; our proposed method gives much more satisfactory results on filtering, scaling,Gaussian, JPEG compression, rotation and cropping than that of previous literature.
Tema
Digital image watermarking; discrete wavelet transform; singular value decomposition; peak signal-to-noise ratio; normalized similarity ratio; non-blind watermarking; multimedia security
Idioma
eng
ISSN
ISSN electrónico: 2448-6736; ISSN: 1665-6423

Enlaces