M-SVD based Quality Measurement in Hybrid non-blind Watermarked Medical Images

Elbaşi, Ersin

doi:10.1109/tsp49548.2020.9163558

Cited by 9 publications

(3 citation statements)

References 15 publications

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“…Table 1 shows PSNR values for a watermarked image using Wavelet, block-based Wavelet and flexible scaling factor-based block Wavelet. Results show that the proposed algorithm gives better image quality values in Lena, Baboon, Boat, Barbara and Peppers images, excepting Cameraman [44,45]. Embedding with FSF-based block DWT is compared with the other most common watermarking algorithms DCT and DFT.…”

Section: Resultsmentioning

confidence: 99%

Robust, Secure and Semi-Blind Watermarking Technique Using Flexible Scaling Factor in Block-Based Wavelet Algorithm

2022

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Multimedia security has received much attention recently because of the rapid transmission of elements such as text, images, audio, video, software, animation and games. Security is becoming especially critical for content owners concerned about the illegal usage of their original products. Encryption and watermarking are two methodologies for digital applications. Spatial domain and frequency domain watermarking algorithms give very promising results in embedding binary images into the cover images. This paper proposed a new method of semi-blind watermarking technique. The digital images are divided into 4 × 4 blocks and converted into discrete Wavelet transformations (DWTs). The binary image is embedded into each block using the flexible scaling factor method. Experimental results show that the proposed method has higher peak signal to noise ratio (PSNR) and similarity ratio (SR) values compared to the standard Wavelet transformation and block-based Wavelet algorithms. The results prove that the proposed hybrid algorithm is more effective, robust, secure and resistant than DWT and block-based DWT algorithms.

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Section: Resultsmentioning

confidence: 99%

Robust, Secure and Semi-Blind Watermarking Technique Using Flexible Scaling Factor in Block-Based Wavelet Algorithm

2022

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“…The experimental results showed that the proposed approach is robust and imperceptible against compression attacks. In this work, [ 46 ], the authors proposed a hybrid image quality degree algorithm based on singular value decomposition (M-SVD) for both grey and color images. The proposed algorithm embeds a watermark in the medical image then applies several geometric and image processing attacks.…”

Section: Watermarkingmentioning

confidence: 99%

Security of medical images for telemedicine: a systematic review

Magdy

Hosny

Ghali

et al. 2022

Multimed Tools Appl

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Recently, there has been a rapid growth in the utilization of medical images in telemedicine applications. The authors in this paper presented a detailed discussion of different types of medical images and the attacks that may affect medical image transmission. This survey paper summarizes existing medical data security approaches and the different challenges associated with them. An in-depth overview of security techniques, such as cryptography, steganography, and watermarking are introduced with a full survey of recent research. The objective of the paper is to summarize and assess the different algorithms of each approach based on different parameters such as PSNR, MSE, BER, and NC.

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“…In the field of medical image authentication, many authors suggested many watermarking systems to achieve data privacy and at the same time preserve image quality as possible to manage disease diagnostics. Elbası [ 43 ] proposed a watermarking method on medical images based on M-SVD utilizing DWT to embed binary watermarks into medical images. The author succeeds in scoring accurate quality measurements of the watermarked images utilizing the proposed M-SVD technique.…”

Section: Related Workmentioning

confidence: 99%

Blind Watermarking of Color Medical Images Using Hadamard Transform and Fractional-Order Moments

Abdel-Aziz

Hosny

Lashin

et al. 2021

Sensors

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This paper proposes a new blind, color image watermarking method using fast Walsh–Hadamard transformation (FWHT) and multi-channel fractional Legendre–Fourier moments (MFrLFMs). The input host color image is first split into 4 × 4 non-interfering blocks, and the MFrLFMs are computed for each block, where proper MFrLFMs coefficients are selected and FWHT is applied on the selected coefficients. The scrambled binary watermark has been inserted in the quantized selected MFrLFMs coefficients. The proposed method is a blind extraction, as the original host image is not required to extract the watermark. The proposed method is evaluated over many visual imperceptibility terms such as peak signal-to-noise ratio (PSNR), normalized correlation (NC), and bit error rate. The robustness of the proposed method is tested over several geometrical attacks such as scaling, rotation, cropping, and translation with different parameter values. The most widely recognized image processing attacks are also considered, e.g., compressing and adding noise attacks. A set of combination attacks are also tested to analyze the robustness of the proposed scheme versus several attacks. The proposed model’s experimental and numerical results for invisibility and robustness were superior to the results of similar watermarking methods.

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M-SVD based Quality Measurement in Hybrid non-blind Watermarked Medical Images

Cited by 9 publications

References 15 publications

Robust, Secure and Semi-Blind Watermarking Technique Using Flexible Scaling Factor in Block-Based Wavelet Algorithm

Robust, Secure and Semi-Blind Watermarking Technique Using Flexible Scaling Factor in Block-Based Wavelet Algorithm

Security of medical images for telemedicine: a systematic review

Blind Watermarking of Color Medical Images Using Hadamard Transform and Fractional-Order Moments

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