Texture Directionality-Based Digital Watermarking in Nonsubsample Shearlet Domain

Jian, Zhao; Fan, Shuaishuai; Jia, Jian; Zhang, Shunli; Jiang, Bo; Xu, Wensheng; Zhang, Wanru

doi:10.1155/2017/6581279

Cited by 1 publication

(6 citation statements)

References 21 publications

(25 reference statements)

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“…There are a several methods of data hiding have been proposed by researchers. Some of these methods are applied at spatial domain of images 5,11,15 and others are used in transform domain of images 1,3,4,9,12,13,16 . In 1 , the researchers suggested a method of image watermarking that based on DST.…”

Section: Related Workmentioning

confidence: 99%

“…This method presents a good imperceptibility as its experimental results. Zhao et al 4 suggested another method of image watermarking. The cover image is transformed into directional sub-bands by applying nonsubsample shearlet transform.…”

Section: Related Workmentioning

confidence: 99%

“…Nowadays, millions of users are able to transmit the digital media through the internet easily. This feature of the internet leads to a number of challenges and threats regarding the security of transmitted media contents such as (copyright protection, media authentication and integrity verification) [1][2][3][4] . Therefore, data hiding and cryptography methods are to be the essential requirements for protecting the contents of digital media 3 .…”

Section: Introductionmentioning

confidence: 99%

“…That means, they are hidden in an existence of the secret data by camouflaging it within another digital media such as (image, video, text or sound) 6 . However, steganography is different from watermarking according to three main requirements: imperceptibility, payload capacity and robustness 4,11 . Imperceptibility means the cover media should keep the perceptually of stego media (cover media after applying embedding process) after the secret data embeds in it 7,12 .…”

Section: Introductionmentioning

confidence: 99%

“…Robustness refers to an ability of the secret data to resist against the attack such as (common image processing, compression,… etc) 4 .…”

Section: Introductionmentioning

confidence: 99%

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An Enhanced Approach of Image Steganographic Using Discrete Shearlet Transform and Secret Sharing

2022

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Recently, the internet has made the users able to transmit the digital media in the easiest manner. In spite of this facility of the internet, this may lead to several threats that are concerned with confidentiality of transferred media contents such as media authentication and integrity verification. For these reasons, data hiding methods and cryptography are used to protect the contents of digital media. In this paper, an enhanced method of image steganography combined with visual cryptography has been proposed. A secret logo (binary image) of size (128x128) is encrypted by applying (2 out 2 share) visual cryptography on it to generate two secret share. During the embedding process, a cover red, green, and blue (RGB) image of size (512x512) is divided into three layers (red, green and blue). The blue layer is transformed using Discrete Shearlet Transform (DST) to obtain its coefficients. The first secret share is embedded at the coefficients of transformed blue layer to obtain a stego image. At extraction process, the first secret share is extracted from the coefficients of blue layer of the stego image and XORed with the second secret share to generate the original secret logo. According to the experimental results, the proposed method is achieved better imperceptibility for the stego image with the payload capacity equal to (1 bpp). In addition, the secret logo becomes more secured using (2 out 2 share) visual cryptography and the second secret share as a private key.

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