DWT based color image watermarking: a review

Giri, Kaiser J.; Quadri, S. M. K.; Bashir, Rumaan; Bhat, Javaid Iqbal

doi:10.1007/s11042-020-09716-6

Cited by 26 publications

(16 citation statements)

References 61 publications

(55 reference statements)

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“…With the development of social and cultural pluralism, music dissemination gradually shows the development of time, and modern music dissemination methods gradually change from CD and tape dissemination to forms of network dissemination [ 1 ]. This kind of dissemination method gradually expands people's choice of music so that people can more intuitively experience the potential artistic value of music while analyzing the emotional content of music [ 2 ].…”

Section: Introductionmentioning

confidence: 99%

Mutual Knowledge Analysis of Music Online Communication and Contemporary People’s View of Music Based on Gray Correlation Analysis and Knowledge-Driven

Xiao-jing

2022

Computational Intelligence and Neuroscience

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With the operation and development of social economy, the emergence of network technology has caused a series of changes in contemporary music media and people’s conception of music. A series of transformations have occurred. The article focuses on music network communication and the public’s music concept and elaborates on the transformation of its concept and its influence, aiming to lay a good foundation for the development of music network communication through the study of the problem.

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Section: Introductionmentioning

confidence: 99%

Mutual Knowledge Analysis of Music Online Communication and Contemporary People’s View of Music Based on Gray Correlation Analysis and Knowledge-Driven

Xiao-jing

2022

Computational Intelligence and Neuroscience

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“…DWT and SVD can effectively balance the image quality and robustness for image watermarking, [ 57 ] because frequency components are less affected by typical noise. [ 51,58 ] In the embedding step, a host image is processed using 2D DWT with a two‐level decomposition (Figure S9a, Supporting Information). A subband image is decomposed by SVD, resulting in a matrix of [ S h Y h U h ].…”

Section: Resultsmentioning

confidence: 99%

Cyber‐Physical Watermarking with Inkjet Edible Bioprinting

Jeon

Leem

et al. 2022

Adv Funct Materials

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Counterfeit medicines are a fundamental healthcare problem, threatening patient safety and public health as well as causing economic damage. Online pharmacies and the ongoing pandemic have promoted medicine counterfeiting. However, the existing anticounterfeit methods are limited because of material toxicity, low security, and complicated fabrication. Here a dosage‐level security method is introduced that combines digital watermarking and physical printing at the material level. A set of requirements is designed to ensure the edibility, printability, imperceptibility, and robustness of cyber‐physical watermarking. An inkjet printer using safe food coloring is adapted to print a watermarked image on a recombinant luminescent silk protein taggant to enhance attack resistance. Machine learning of color accuracy recovers unavoidable color distortions during printing and acquisition, allowing robust smartphone readability. An edible watermarked taggant affixed to each individual medicine can offer anticounterfeit and authentication features at the dosage level, empowering every patient to aid in abating illicit medicines.

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“…Over recent years, many investigators have worked to develop robust image watermarking methods based on DWT for color images 34 . Lala 35 designed a watermarking method by using an alpha blending technique and one‐level DWT, in which the LL band was selected to hide the watermark.…”

Section: Related Workmentioning

confidence: 99%

A color channel multiplexing approach for robust discrete wavelet transform based image watermarking

Saritas

Öztürk

2022

Concurrency and Computation

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Summary Copyright protection of digital images has become a consequential issue in recent years. To prevent a breach of copyright for a color image, this article presents a novel discrete wavelet transform (DWT) based robust image watermarking method with a color channel multiplexing approach. In this proposed method, the original color image is separated into red, green, and blue color channels. One of these color channels is copied and a set of four channels is obtained. Then these channels are combined to obtain a new gray‐level cover image. 2‐level DWT is performed on the cover image. Arnold scrambled binary watermark image i embedded into the low‐frequency sub‐band of the cover image. 2‐level inverse DWT is performed to produce a gray‐level watermarked image. Then a demultiplexing process is performed by separating the gray‐level watermarked image into four color channels. The average values of the two copied color channels are calculated and then converted into a single‐color channel. Finally, the watermarked color image is get by merging three different color channels. To approve the performance of the presented method, various experimental tests have been performed and a benchmarking analysis has been conducted. The results show that the proposed method is robust against non‐linear and linear attacks while protecting watermarking imperceptibility.

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DWT based color image watermarking: a review

Cited by 26 publications

References 61 publications

Mutual Knowledge Analysis of Music Online Communication and Contemporary People’s View of Music Based on Gray Correlation Analysis and Knowledge-Driven

Mutual Knowledge Analysis of Music Online Communication and Contemporary People’s View of Music Based on Gray Correlation Analysis and Knowledge-Driven

Cyber‐Physical Watermarking with Inkjet Edible Bioprinting

A color channel multiplexing approach for robust discrete wavelet transform based image watermarking

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