A robust image watermarking technique using SVD and differential evolution in DCT domain

Ali, Musrrat; Ahn, Chang Wook; Pant, Millie

doi:10.1016/j.ijleo.2013.06.082

Cited by 165 publications

(83 citation statements)

References 34 publications

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“…In this study, DWT is applied as the technique is widely used in digital signal processing, image compression, watermarking and etc. This technique uses wavelet filters to transform the image and the transforms are based on small waves which called wavelet that varies frequency and limited duration [8].…”

Section: Watermarking Techniquesmentioning

confidence: 99%

A Digital Image Watermarking System: An Application of Dual Layer Watermarking Technique

Phin

Rahman

2017

JOIV : Int. J. Inform. Visualization

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Abstract-Watermarking is a method to digitally sign a product to provide authentication and prevent copyright infringement to proving the ownership of a product and provides integrity for companies to protect their product. In this study, dual layer watermark that applies two different watermarking techniques at each layer is presented. The first layer applies the LSB Substitution technique while the second layer uses the Discrete Wavelet Transform (DWT) technique. This implies greater integrity as it contains of two signatures in providing authentication.

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Section: Watermarking Techniquesmentioning

confidence: 99%

A Digital Image Watermarking System: An Application of Dual Layer Watermarking Technique

Phin

Rahman

2017

JOIV : Int. J. Inform. Visualization

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“…While frequency domain schemes transform the representation of spatial domain into the frequency domain and then modify its frequency coefficients to embed the watermark. There are many transform domain watermarking schemes such as discrete cosine transforms (DCT) [4,9,57,39,37,38,113], singular value decomposition (SVD) [8,14,22,27,28,34,48,52,63,74,77,84,85,90,91,113], discrete Fourier transforms (DFT) [18,64,67,70,94], and discrete wavelet transforms (DWT) [7,28,51,83,90,102,117]. These methods typically provide higher imperceptibility and are much more robust to distortion attacks, but the computational cost is higher than spatial-domain watermarking methods.…”

Section: Digital Watermarkingmentioning

confidence: 99%

“…These features are conflicting with each other, so it is a very difficult task to satisfy all the requirements at the same time. Some of the researchers tried to find out the solution of this problem utilizing the artificial intelligence approaches [2,4,5,6,7,8,47,52,71,72,76,81,85,94,95,108,121]. There are different versions of data hiding based on different approaches.…”

Section: Introductionmentioning

confidence: 99%

Data Hiding Schemes: A Survey

Ali¹,

Ahn²,

Pant³

2016

Gate to Computer Science and Research

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Data hiding is the process of hiding an amount of data, called secret message or watermark, into a cover media that may be audio, video, or image signal, in an imperceptible way for different purposes. Due to the advances in generation, storage, and communication technology of digital media, the necessity and importance of data hiding has drawn the attention of many researchers all over the world resulting in a lot of variants of data hiding scheme. This chapter provides a detailed review of the basic concepts of data hiding and a survey of its major variants developed so far. The chapter classifies the data hiding schemes based on several aspects of data hiding comprising artificial intelligence. Furthermore, the chapter also provides the recommendations to the interested users for further research. This review may be a useful insight and a good source for the users who are interested in the application of artificial intelligence in data hiding.

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“…The advantage of DE over other evolutionary algorithms is that it is simple, easy to use, speedy and greater probability of finding the global optima for function optimization [2] [3]. DE has been successfully used in various real life fields like Electrical power systems [4], electromagnetism [5], control systems [6], Bioinformatics [7], chemical engineering [8], image processing [9], artificial neural networks [10], signal processing [11] etc.…”

Section: Introductionmentioning

confidence: 99%