Watermarking berbasis Redundant Discrete Wavelet Transform dan Arnold Transform pada Citra Medis

2021 ◽  
Vol 13 (2) ◽  
pp. 48-55
Author(s):  
Ledya Novamizanti ◽  
Irma Safitri ◽  
Hafizhan Bhamakerti Arindaka ◽  
Iwan Iwut Tritoasmoro
Keyword(s):  
Wavelet Transform ◽  
Discrete Wavelet Transform ◽  
Medical Image ◽  
Medical Images ◽  
Image Watermarking ◽  
Singular Value ◽  
Discrete Wavelet ◽  
Arnold Transform ◽  
Image Sharpening ◽  
Redundant Discrete Wavelet Transform

In telemedicine, data transmission in digital medical images and electronic medical records through the internet is vulnerable to various threats of theft and manipulation. Image watermarking is needed to provide authentication and security to medical images. This paper proposes an image watermarking scheme based on Redundant Discrete Wavelet Transform (RDWT) and Discrete Cosine Transform (DCT) with watermark encryption using Arnold transform. First, the original host medical image was decomposed into four subbands using RDWT. Then, DCT is applied to the LH subband of the RDWT. On the other hand, the watermark is scrambled using Arnold transform to ensure identity security. The singular value of the watermarked image is obtained by modifying the singular value of the host image and the watermark. Tests were carried out on different medical images, namely X-ray, MRI, CT, and ultrasound, with a watermark in a proprietary logo. The host medical image is the same size as the watermark image. The result of this study can provide high authentication, imperceptibility and security in medical images, with an average PSNR value of 65.67 dB, SSIM 1, BER 0, NC 1. This scheme is resistant to JPEG compression, noise addition, filtering, image sharpening, image enhancement, geometric operations, motion blur, image sharpening, and histogram equalization.

scholarly journals IMPLEMENTASI DISCRETE WAVELET TRANSFORM (DWT) DAN SINGULAR VALUE DECOMPOSITION (SVD) PADA IMAGE WATERMARKING

2016 ◽  
Vol 3 (1) ◽  
Author(s):  
Maretha Ruswiansari ◽  
Atik Novianti ◽  
Wirawan Wirawan
Keyword(s):  
Wavelet Transform ◽  
Singular Value Decomposition ◽  
Discrete Wavelet Transform ◽  
Image Watermarking ◽  
Singular Value ◽  
Discrete Wavelet ◽  
Arnold Transform ◽  
Value Decomposition

Keaslian informasi dalam berbagai bentuk dan media tidak lagi terjaga karena setiap orang dapat mengubah dan memodifikasinya untuk kemudian disebarkan kembali. Tanda air (watermarking) dapat diartikan sebagai suatu teknik penyisipan dan atau penyembunyian informasi yang bersifat rahasia pada suatu data lainnya untuk “ditumpangi” (kadang disebut dengan host data), tetapi orang lain tidak menyadari adanya kehadiran data tambahan pada data host-nya (istilah host digunakan untuk data atau sinyal digital yang disisipi), sehingga seolah-olah tidak ada perbedaan berarti antara data host sebelum dan sesudah proses watermarking. Pada penelitian ini dilakukan simulasi algoritma watermarking dengan menyisipkan citra watermark ke citra asli menggunakan Discrete Wavelet Transform (DWT) dan Singular Value Decomposition (SVD). Penelitian ini menggunakan citra host berwarna sehingga perlu dilakukan proses konversi citra RGB menjadi komponen Y, Cb, dan Cr. Metode DWT-SVD lebih tahan terhadap attack dibandingkan dengan metode DWT. Prosespenyisipan watermark dengan Arnold transform menghasilkan PSNR lebih tinggi dibandingkan tanpa Arnold transform, dimana dengan Arnold transform PSNR = 85.7959 dB, dan tanpa Arnold transform PSNR = 85.3901 dB. Semakin rendah PSNR maka semakin tinggi nilai similarity factor (SF) dan semakin jelas watermark-nya.

ADAPTIVE IMAGE WATERMARKING USING DISCRETE WAVELET TRANSFORM, SINGULAR VALUE DECOMPOSITION AND AUTOMORPHISM

2018 ◽  
Vol 6 (2) ◽  
pp. 77-80
Author(s):  
Om Narayan Mishra ◽  
Shailja Shukla
Keyword(s):  
Wavelet Transform ◽  
Singular Value Decomposition ◽  
Discrete Wavelet Transform ◽  
Image Watermarking ◽  
Singular Value ◽  
Cover Image ◽  
Discrete Wavelet ◽  
Object Image ◽  
Xor Operation ◽  
Value Decomposition

Watermarking is a method to hide the image efficiently into any covering object (image in our case) so no intruder can interpret it by any means. Proposed work is a new design of image watermarking which include pre-processing of cover image with Discrete Wavelet Transform (DWT) and Singular Value Decomposition (SVD). Proposed work using an alphanumeric key which initially modifies the watermark using simple ‘XOR’ operation, and at the receiver end this key must be there so that receiver can extract the watermark.  Proposed work is also using torus Automorphism which initially changes the watermark into a scramble format which cannot be recognised as original watermark.

scholarly journals Invisible Medical Image Watermarking using Edge Detection And Discrete Wavelet Transform Coefficients

2019 ◽  
Vol 9 (1) ◽  
pp. 5074-5080
Keyword(s):  
Wavelet Transform ◽  
Medical Imaging ◽  
Edge Detection ◽  
Discrete Wavelet Transform ◽  
High Frequency ◽  
Medical Image ◽  
Image Watermarking ◽  
Discrete Wavelet ◽  
Medical Image Watermarking ◽  
Imaging Application

Protection and authentication of medical images is essential for the patient’s disease identification and diagnosis. The watermark in medical imaging application needs to be invisible and it is also required to preserve the low and high frequency features of image data which makes watermarking a difficult assignment. Within this manuscript an unseen medical image watermarking approach is projected apply edge detection in the discrete wavelet transform domain. The wavelet transform is brought into play to decay the medical picture interested in multi-frequency secondary band coefficients. The edge detection applies to high frequency wavelet group in the direction of generating the boundary coefficients used as a key. The Gaussian noise pattern is utilized as watermark as well as embedded within the edge coefficients around the edges. To add the robustness scaled dilated edge coefficient is added with the edge coefficients to generate the watermarked image. Preserving the small frequency secondary band fulfills the information requirement of the medical imaging application. At the same time as adding together the watermark during high frequency sub-bands improve the watermark invisibility. To add additional robustness the dilation is applied on the edged coefficient before being embedded with sub band coefficients. presentation of the technique is experienced on the dissimilar set of medical imagery as well as evaluation of the proposed watermarking method founds it robust not in favor of the different attacks such at the same time as filtering, turning round plus resizing. Parametric study foundation going on Mean Square Error along with Signal to Noise Ratio shows that how good method performs for invisibility.

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