Robustness enhancement for image hiding algorithm in cellular automata domain

Li, Xiaowei; Kim, Seok Tae; Lee, In-Kwon

doi:10.1016/j.optcom.2015.07.073

Cited by 12 publications

(5 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The image steganography outcome comes from the combination of the wavelet transform in the form of the discrete wavelet transform, linear matrix division in the form of singular value decomposition, and the scrambling method. The motive for using this technique is to provide secret image security between transmission channels [21]. Secret image security depends upon secret data invisibility in the transmission channel.…”

Section: Secret Image Embedding Algorithmmentioning

confidence: 99%

DWT-SVD Based Image Steganography Using Threshold Value Encryption Method

Khandelwal¹,

Sharma²,

Singh³

et al. 2022

Computers, Materials &Amp; Continua

View full text Add to dashboard Cite

Digital image steganography technique based on hiding the secret data behind of cover image in such a way that it is not detected by the human visual system. This paper presents an image scrambling method that is very useful for grayscale secret images. In this method, the secret image decomposes in three parts based on the pixel's threshold value. The division of the color image into three parts is very easy based on the color channel but in the grayscale image, it is difficult to implement. The proposed image scrambling method is implemented in image steganography using discrete wavelet transform (DWT), singular value decomposition (SVD), and sorting function. There is no visual difference between the stego image and the cover image. The extracted secret image is also similar to the original secret image. The proposed algorithm outcome is compared with the existed image steganography techniques. The comparative results show the strength of the proposed technique.

show abstract

Section: Secret Image Embedding Algorithmmentioning

confidence: 99%

DWT-SVD Based Image Steganography Using Threshold Value Encryption Method

Khandelwal¹,

Sharma²,

Singh³

et al. 2022

Computers, Materials &Amp; Continua

View full text Add to dashboard Cite

show abstract

“…Our NC (ref NC) No attack 1.0 (1.0 [25], 1.0 [38]) Gaussian low-pass filter 0.827244 Median filtering (5,1) 0.8874 (0.9968 [25], 0.5743 [39], 0.9356 [40], 0.8814 [38], 0.8370 [41]) Median filtering (3,3) 0.847447 (0.7897 [42], 0.9188 [30], 0.9258 [9]) Average filter' (3,3) 0.826939 (0.7569 [42]) Gaussian noise (M � 0, V � 0.0001) 0.94806 (0.9706 [25], 0.9256 [39], 0.9387 [40], 0.9131 [38]) Salt and pepper noise (0.001) 0.984562 (0.9952 [25], 0.9287 [39], 0.9122 [40], 0.9902 [38], 0.9421 [43]) Speckle noise 0.951758 JPEG compression (Qf � 30) 0.87903 (0.9968 [25], 0.8594 [39], 0.9789 [40], 0.8469 [38]) JPEG compression (Qf � 90) 0.92956 (0.9862 [30], 0.9061 [43], 0.89109 [32]) Sharpening attack (0.2) 0.96612 (0.9138 [42], 0.9579 [9]) Sharpening attack (0.8) 0.856457 Sharpening attack (1.0) 0.8052 (0.9638 [25], 0.9877 [39], 0.9366 [40], 0.9999 [38]) Histogram equalization 0.8785 (0.8805 [11]) Motion blur 0.830194 Flip (horizontal/Vertical) 0.9912 (1.0 [19])…”

Section: Attacksmentioning

confidence: 99%

“…In the age of cloud computing and for computing, the security of data whether the sensor's data or cloud's data has become the dire need of today's age to secure it from malicious attacks. Similarly, copyright infringement problems and illegal distribution and modification while disseminating information over the Internet may arise quite frequently [1,2]. erefore, watermarking coupled with hyperchaotic encryption can cope up with the emerging challenges of copyright infringement, watermarking attacks, and security issues.…”

Section: Introductionmentioning

confidence: 99%

Robust Secure Color Image Watermarking Using 4D Hyperchaotic System, DWT, HbD, and SVD Based on Improved FOA Algorithm

Nazir

Bajwa

Samiullah

et al. 2021

Security and Communication Networks

View full text Add to dashboard Cite

In the recent past, a different set of algorithms for watermarking and securing the color images have been developed by using transformation, decomposition, and optimization techniques for watermark embedding and extraction. In this paper, we propose an optimized and robust watermarking algorithm coupled with a 4D hyperchaotic system, and its performance is analyzed by extending and differentiating the existing work. Our contribution in the presented work is watermarking and securing the color images by an optimized algorithm that uses transformation technique such as Discrete Wavelet Transformation (DWT) and decomposition techniques such as Hessenberg decomposition (HbD) and singular value decomposition (SVD) coupled with the 4D hyperchaotic system, while the optimization is carried out by improved evolution fruit fly optimization algorithm (IEFOA). The experimental results based on different types of attacks (filter attacks, noise attacks, cropping attack, JPEG compression, motion blur, sharpening, and rotation), key sensitivity, normalized correlation, peak signal-to-noise ratio, and structural similarity index measure are done for measuring the algorithm’s performance regarding invisibility and robustness. The experimental results show that the proposed scheme has excellent invisibility and keeps a good trade-off between invisibility and robustness. The experiment results show that the proposed approach outperforms the previous approaches.

show abstract

“…Steganography deals with secretly transmitting the piece of information by embedding it into some trivial cover image [4], [5]. Whether it is steganography or invisible digital watermarking, it offers other benefits such as (a) confirmation of content creator, (b) non-susceptibility to illegal distribution, copyright breach problems, and alteration while sending data over the internet.…”

Section: Introductionmentioning

confidence: 99%