Medical images protection and authentication using hybrid DWT-DCT and SHA256-MD5 hash functions

Kunhu, Alavi; Al-Ahmad, Hussain; Taher, Fatma

doi:10.1109/icecs.2017.8292084

Cited by 16 publications

(14 citation statements)

References 4 publications

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“…DWT based techniques are alluring a result of their simplicity and less computational weight. Further hybrid techniques are developed by researchers for integrating the advantages of both spatial and transform domain or different techniques of frequency domain itself [7], [8], [10], [17], [18], [25], [30]- [33].…”

Section: Fig 1 Taxonomy Of Digital Watermarkingmentioning

confidence: 99%

“…Further researchers started working in frequency domain techniques [2], [8], [11] by identifying the advantages of frequency domain techniques over spatial domain in medical field. Later on it is also presented by few researchers that hybrid watermarking techniques are best which incorporates features of multiple digital watermarking techniques combining spatial and frequency / transform domain techniques [3], [5], [8], [31] or combining multiple frequency domain techniques [6], [7], [10]. Along with this, Multi-level watermarking [12] and multiple watermarks [6], [7], [11] are also used by few of them for medical images.…”

Section: Related Workmentioning

confidence: 99%

“…Another region based-watermarking algorithm by integrating cryptography is presented by Alavi Kunhu et al [7]. Watermark is embedded in both the domains -Frequency domain using DWT & DCT and spatial domain.…”

Section: Related Workmentioning

confidence: 99%

“…For image watermarking, selection of sub-band for embedding watermark depends on the applications and type of images used. In literature, some researchers have used HL sub-band [11], [29], [34], few have embedded watermark in HH sub-band [10], [36] and others have used LL sub-band [7], [14], [30]. Also more than two sub-bands are used to embed different components or multiple watermarks [3], [6], [35].…”

Section: B Discrete Wavelet Transform (Dwt)mentioning

confidence: 99%

See 3 more Smart Citations

Hybrid Mode of Medical Image Watermarking To Enhance Robustness and Imperceptibility

Verma¹,

Sharma²

2019

IJITEE

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In Modern healthcare systems, diagnostic information of patients is managed digitally. Watermarking strategies plays a significant role to ensure the security, authenticity and management of biomedical images and related patient information. This paper explores different invisible Digital watermarking methods both in spatial and transform / frequency domain and then Hybrid method by combining two techniques to justify better results for medical images. Here, host image considered is a medical image and patient’s information is a watermark which is embedded into it. The embedded watermark is hidden in medical host image and its quality should not be degraded to avoid misdiagnosis by doctors. In this paper, LSB, SVD, DCT, DWT and Hybrid techniques (DWT+SVD) are implemented for embedding and extraction process of invisible medical image watermarking. The performance is evaluated based on PSNR as a measure of imperceptibility and CRC & SSIM as a check of robustness. The attacks introduced are cropping, rotating, and noise like Gaussian, Salt & Paper, Speckle and Poisson. Results reveal that DWT provides higher PSNR values but it is robust for few attacks only. On the other side, SVD provides consistent SSIM for all attacks, although PSNR values are less than that of DWT. Hence a hybrid technique is implemented by incorporating benefits of DWT and SVD both and achieved optimal values of PSNR as well as SSIM to provide better security to medical images by preserving the quality as well.

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Section: Fig 1 Taxonomy Of Digital Watermarkingmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: B Discrete Wavelet Transform (Dwt)mentioning

confidence: 99%

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Hybrid Mode of Medical Image Watermarking To Enhance Robustness and Imperceptibility

Verma¹,

Sharma²

2019

IJITEE

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“…Initially the first secure hashing algorithm (SHA-1) based on digital signature algorithm (DSA) was used for authentication of messages [1]. SHA-1 was further enhanced for media applications by many researchers and a family of security and hashing schemes is developed based on SHA and message digest algorithm (MDA) [3].…”

Section: Introductionmentioning

confidence: 99%

Robust image hashing based on structural and perceptual features for authentication of color images

Khan¹,

Monir²,

Naseem³

2021

Turk J Elec Eng & Comp Sci

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Image hashing is one of the most celebrated techniques regarding the discipline of image forensics, image retrieval, image indexing, content verification, and zero watermarking. For such sensitive and complex problems, the generation of unique and robust image hash is an utmost prerequisite for an image identifier driven from the perceptual contents of an image. As a design perspective, it is essential for an image hash to have robustness and optimized discriminative capability. We propose a robust image hashing technique by acquiring perceptual features based on a novel distance magnitude profile utilizing color pixel incongruity among the contiguous pixels, as well as producing a structural image for discrimination. The combination of both results provide state-of-the-art robust profile that has efficient discriminative capacity and is impervious to usual signal processing violations.

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Medical Image Watermarking in Four Levels Decomposition of DWT Using Multiple Wavelets in IoT Emergence

et al. 2020

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Medical images protection and authentication using hybrid DWT-DCT and SHA256-MD5 hash functions

Cited by 16 publications

References 4 publications

Hybrid Mode of Medical Image Watermarking To Enhance Robustness and Imperceptibility

Hybrid Mode of Medical Image Watermarking To Enhance Robustness and Imperceptibility

Robust image hashing based on structural and perceptual features for authentication of color images

Medical Image Watermarking in Four Levels Decomposition of DWT Using Multiple Wavelets in IoT Emergence

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