A blind medical image watermarking: DWT-SVD based robust and secure approach for telemedicine applications

Thakkar, Falgun N.; Srivastava, Vinay Kumar

doi:10.1007/s11042-016-3928-7

Cited by 164 publications

(44 citation statements)

References 30 publications

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“…All simulation results are computed using MATLAB software. Mean squared error (MSE), peak signal to noise ratio (PSNR), normalized correlation (NC) [51], structural similarity index [52] and weighted PSNR (WPSNR) [53,54] are the parameters which are employed for evaluating performance of the proposed technique. Table 1 tabulates MSE, PSNR, WPSNR, NC and SSIM values for the proposed algorithm under no attacks.…”

Section: Simulation Results and Its Analysismentioning

confidence: 99%

A Novel Dual Image Watermarking Technique Using Homomorphic Transform and DWT

Khare

Srivastava

2020

Journal of Intelligent Systems

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In this paper a new technique of dual image watermarking is proposed for protection of ownership rights which utilizes salient properties of homomorphic transform (HT), discrete wavelet transform (DWT), singular value decomposition (SVD) and Arnold transform (AT). In embedding algorithm host image is splitted into reflectance and illumination components using HT, DWT is further applied to the reflectance component resulting in frequency subbands (HL and LH) which are transformed by SVD. Two image watermarks are selected for embedding process whereas security of proposed algorithm is strengthen by performing scrambling of second watermark through AT. Both watermarks are transformed with DWT and SVD. Singular values (SVs) of both transformed watermark are embedded into SVs of host image. Simulation results clearly signifies for high robustness and imperceptibility of proposed algorithm as it is examined under various attacks. Superiority of proposed technique is illustrated by comparing it with other reported methods.

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Section: Simulation Results and Its Analysismentioning

confidence: 99%

A Novel Dual Image Watermarking Technique Using Homomorphic Transform and DWT

Khare

Srivastava

2020

Journal of Intelligent Systems

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“…We used PSNR evaluations to check the amount of noise that proposed architecture applied to the image, the lesser the electronic noise, the higher the PSNR. The PSNR [8] equation (5) shown as follows:…”

Section: Resultsmentioning

confidence: 99%

“…Around the world, many researchers using Techniques such as DWT, SVD, DCT. The study [5] used DWT-SVD to secure the sensitive medical data, they apply DWT into Region of interest of medical pictures to get different Lowfrequency LL sub-bands, then they apply SVD to get Different Singular metrics then they modify values to embed a bit of watermark. Other researchers [6]developed a digital watermarking algorithm that uses DCT and fractal encoding method(FE) by splitting the image into non-overlapping cells.…”

Section: Related Literaturementioning

confidence: 99%

A Secure Image Watermarking Architecture based on DWT-DCT Domain and Pseudo-Random Number

Alipour*,

Gerardo,

Medina

2019

IJRTE

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The outburst media contents in today's platforms a need for securing the ownership, authentication and data tampering raised. Protection against tapering the media contents is one of the challenges facing the individuals and industry in a digital age, in another hand rise of artificial neural network models such as deep fake and media contents editors threaten the originality and ownership of media in today digital base life. Demands to secure the ownership and authenticity of data that create by author risen. Hidden the true identity and originality of the media is one way to protect digital creation. Using a watermarked content is one way to protect the ownership of the digital media. It is possible to hide the watermark in the original content to secure it from tapering or illegally usage of the product, by hiding the watermark more securely and acceptable imperceptibility to sensors it is possible to have minimised the effect of watermark process on original contents. In this paper researchers designed an architecture that enhanced and centred on robustness and security of the watermarked image. In this method, we used four random number as seeds generated by a pseudo-random number generator, randomised numbers used as Initial value for encryption of watermark image. Watermark designed in a way that has a lesser footprint on the covered image. Outputs evaluate using PSNR, SSIM and different modification attacks tested against the watermarked image. The result shows that the architecture output is in acceptance range and enhanced the security and robustness of watermarking compere to some existing watermarking architectures and algorithms

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“…Durante los últimos años se han implementado técnicas basadas en marcas de agua, las cuales son aplicadas a imágenes médicas [7][8][9][10][11][12][13]. En la presente sección se presentan los métodos más representativos los cuales aplican técnicas de marcado de agua en imágenes médicas.…”

Section: Estado Del Arteunclassified

“…Trankkar [8] propone un esquema de marcado de agua combinando la Transformada Discreta de Wavelet (DWT por sus siglas en inglés de Discrete Wavelet Transform) y la Descomposición en Valores Singulares (SVD por sus siglas en inglés de Singular-Value Decomposition) además implementa códigos de corrección de errores (ECC por sus siglas en inglés de Error-Correcting Code), el autor propone el uso de dos marcas de agua, una como imagen y otra marca de agua como texto la cual contiene los EPR.…”

Section: Estado Del Arteunclassified

Mejora de un esquema de marca de agua aplicado a la gestión de imágenes médicas

Lagunas¹,

Molina‐García²,

Ponomaryov³

2018

RCS

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En el presente trabajo se propone un método de marca de agua basado en la DWT que aborda los problemas de protección de datos personales y datos sobre los estudios clínicos de un paciente, recuperación de datos del médico que lleva a cabo los estudios y verificación de la integridad de las imágenes médicas. El esquema de marcado realiza la descomposición de una imagen médica en formato DICOM al dominio tiempo-frecuencia mediante la DWT, insertado bits empleados para detección de alteraciones en el primer nivel de descomposición de la sub-banda HL, posteriormente se inserta la información del paciente, identificación del médico e información adicional empleada durante la extracción en la sub-banda de frecuencia LH. Los resultados obtenidos muestran que las imágenes protegidas no se degradan de manera significativa, ya que se obtiene un valor en términos de PSNR (dB) superior a 50dB; asimismo, se demostró que el esquema de marcado de agua es capaz de extraer la información insertada empleando ataques no intencionales como compresión. Finalmente, se mostró experimentalmente la eficiencia del método propuesto para detectar alteraciones empleando ataques de adición de ruido y emborronamiento. Palabras clave: marcas de agua, imágenes médicas, confidencialidad, detección de alteraciones, gestión de imágenes médicas.

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A blind medical image watermarking: DWT-SVD based robust and secure approach for telemedicine applications

Cited by 164 publications

References 30 publications

A Novel Dual Image Watermarking Technique Using Homomorphic Transform and DWT

A Novel Dual Image Watermarking Technique Using Homomorphic Transform and DWT

A Secure Image Watermarking Architecture based on DWT-DCT Domain and Pseudo-Random Number

Mejora de un esquema de marca de agua aplicado a la gestión de imágenes médicas

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