Implementation of DWM for medical images using IWT and QR code as a watermark

Kavitha, K J

doi:10.1109/icedss.2017.8073698

Cited by 9 publications

(3 citation statements)

References 3 publications

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“…Watermarking techniques, therefore, must be implemented to minimize the distortion with less data embedding capacity. In this regard, the combination of IWT (Integer wavelets transform), the bit-plane method, and a QR (Quick Response) code has been proposed [29], where the watermark is converted into a QR code. Thus, the proposed method reduces the embedding capacity.…”

Section: Capacitymentioning

confidence: 99%

Digital Image Watermarking Techniques: A Review

2020

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Digital image authentication is an extremely significant concern for the digital revolution, as it is easy to tamper with any image. In the last few decades, it has been an urgent concern for researchers to ensure the authenticity of digital images. Based on the desired applications, several suitable watermarking techniques have been developed to mitigate this concern. However, it is tough to achieve a watermarking system that is simultaneously robust and secure. This paper gives details of standard watermarking system frameworks and lists some standard requirements that are used in designing watermarking techniques for several distinct applications. The current trends of digital image watermarking techniques are also reviewed in order to find the state-of-the-art methods and their limitations. Some conventional attacks are discussed, and future research directions are given.

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Section: Capacitymentioning

confidence: 99%

Digital Image Watermarking Techniques: A Review

2020

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“…The QR Decomposition of the quadratic matrix A is decomposition A, which is defined by Eq. ( 8) [21,22]: (8) where is an orthogonal matrix with . and are an upper triangular matrix.…”

Section: Qr Decompositionmentioning

confidence: 99%

High Payload Qr-Based Data Hiding Using Secured Compressed Watermark in Polar Domain

Irawati¹,

Budiman²,

Masykuroh³

et al. 2021

Frontiers in Artificial Intelligence and Applications

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Audio Watermarking is a method to insert a copyright marker on audio. This method inserts a watermark in the information form and in a way that does not damage the audio. This technique is one of the ways to solve the problem of copyright infringement. The embedded watermark has to meet the condition of not damaging the audio and must have robustness, imperceptibility, and good capacity. The data hiding technique use the combined method of Lifting Wavelet Transform (LWT), Fast Fourier Transform (FFT), QR Decomposition and Reconstruction, and Cartesian-Polar Transformation (CPT) based on Quantization Index Modulation (QIM) with the secured and compressed watermark using Compressive Sampling (CS) technique. The proposed scheme is blind Audio Watermarking as it no needs for original audio in the detection process. The combination of methods overcomes multiple attacks with guaranteed quality watermarking and high capacity. Compared to the existing technique, the data hiding technique can withstand LPF attacks, Resampling, Linear speed change (LSC), and MP3 compression. This proposed technique is also secured due to the coded watermark by a particular random key using CS. Combining CS and Audio Watermarking techniques can perform well in capacity, imperceptibility, security, and attack resistance.

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“…In this approach, the QR Code has been used as a watermark to ensure the extended usability. Kavitha et al [8] propose a system for protecting the medical information against different illegal activities. Also, many researchers used the QR Codes with the process of digital watermarking as a carrier image.…”

Section: Related Workmentioning

confidence: 99%

The inclusion of watermarks based on QR Code analysis

Waleed

Jasim

Abbas³

2018

IJET

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With the quick arrival of high grades of acceptance, the QR Code technology is becoming more adaptable and usable every day by more and more people. Lately, the utilization of two dimensional QR codes for the powerful encoding of information with a big capacity becomes significantly growing; especially for encoding the identity. Because the identity is private information, it requires being further authenticated. This paper firstly works on analyzing the content of the QR Code and finding the unimportant locations inside it; Then, a combination of the digital watermarking concept and QR Code technology is used to substitute the founded unimportant locations by the watermark for the purpose of increasing the authenticity for the owner of the identity. The experimental results show that the inclusion of watermark bits inside the detected unimportant locations did not affect the process of decoding and retrieving information from the QR Code.

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Implementation of DWM for medical images using IWT and QR code as a watermark

Cited by 9 publications

References 3 publications

Digital Image Watermarking Techniques: A Review

Digital Image Watermarking Techniques: A Review

High Payload Qr-Based Data Hiding Using Secured Compressed Watermark in Polar Domain

The inclusion of watermarks based on QR Code analysis

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