High capacity adaptive image steganography with cover region selection using dual-tree complex wavelet transform

Kadhim, Inas Jawad; Premaratne, Prashan; Vial, Peter James

doi:10.1016/j.cogsys.2019.11.002

Cited by 59 publications

(19 citation statements)

References 38 publications

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“…They used an adaptive embedded process over Dual-Tree Complex Wavelet Transform (DT-CWT) method. They show that this method is significantly better than other steganography techniques [7].…”

Section: " Literature Reviewmentioning

confidence: 93%

A Graphical Based Video Steganography

Bandyopadhyay¹,

Bose²,

Goyel³

2021

Preprint

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In today’s digital media data communication over the internet increasing day by day. Therefore the data security becomes the most important issue over the internet. With the increase of data transmission, the number of intruders also increases. That’s the reason it is needed to transmit the data over the internet very securely. Steganography is a popular method in this field. This method hides the secret data with a cover medium in a way so that the intruders cannot predict the existence of the data. Here a steganography method is proposed which uses a video file as a cover medium. This method has five main steps. First, convert the video file into video frames. Then a particular frame is selected for embedded the secret data. Second, the Least Significant Bit (LSB) Coding technique is used with the double key security technique. Third, an 8 characters password verification process. Fourth, reverse the encrypted video. Fifth, signature verification process to verify the encryption and decryption process. These five steps are followed by both the encrypting and decrypting processes.

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Section: " Literature Reviewmentioning

confidence: 93%

A Graphical Based Video Steganography

Bandyopadhyay¹,

Bose²,

Goyel³

2021

Preprint

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“…In Even-Odd based data hiding, the parity of pixel value [11][12][13] or quantized high-frequency coefficient [14][15][16][17][18] is used to correspond to the bit to be hidden. Like LSB technique, a single pixel or quantized transform coefficient is used as the carrier of information, and its parity is directly used to represent the hidden bit.…”

Section: Fig 1 a Simple Model Of Information Hidingmentioning

confidence: 99%

Large-Capacity Image Data Hiding based on Table Look-up

Ding¹,

Zhang²,

Reulke³

et al. 2021

Preprint

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In previous data hiding techniques, binary rules are usually used to guide the fine-tuning of the values of basic objects in the host media to hide bit 0 and bit 1. In this paper, we propose a new data hiding technique for gray images based on querying a 256x256 information table. The information table is constructed by cloning a 3x3 basic block, which we call seed block. Eight unsigned integer values between 0 and 7, i.e., 3 bit binary data, are assigned to different elements of the seed block. Each time, a pair of pixels are chosen from a host image, and their pixel values are used as row and column numbers to look up the information table. If element value obtained by looking up the table is equal to the 3 bit binary data to be hidden, the values of the pixel pair will remain unchanged. Otherwise, take this element as the central point, we call it the focus element, to enclose a 3x3 window in the information table. Then in the window, find the element which is equal to the data to be hidden. Finally, update the pixel values of the pair with the row and column numbers of the found element in the window. Since the row and column numbers are in the range of 0-255, the updated pixel values will not overflow. In the proposed algorithm, a pair of pixels can hide 3 bits of information, so the embedding capacity is very high. Since the adjustment of pixel values is constrained in a 3x3 window, the modification amount of pixel values is small. The proposed technique belongs to fragile digital watermarking, so it can be used for image authentication and tamper localization. By the evaluation of data hiding capacity, security, imperceptibility, computational cost and extensibility, this algorithm is superior to existing information hiding techniques. The proposed technique can also be used in color image and audio data hiding.

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“…In [104], the embedding domain is the coefficients of the dual-tree complex wavelet transform. The authors justify the choice of this frequency conversion by the fact that the presence of a real and imaginary part increases the hiding space and allows for a large embedding capacity.…”

Section: Edge Detection Based Embeddingmentioning

confidence: 99%

Digital Steganography and Watermarking for Digital Images: A Review of Current Research Directions

2020

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The development of information technology has led to a significant increase in the share of multimedia traffic in data networks. This has necessitated to solve the following information security tasks in relation to multimedia data: protection against leakage of confidential information, as well as identifying the source of the leak; ensuring the impossibility of unauthorized changes; copyright protection for digital objects. To solve such kind of problems, methods of steganography and watermarking are designed that implement embedding in digital objects hidden information sequences for various purposes. In this paper, an overview of promising research in the specified area is provided. First of all, we provide basic information about this field of research and consider the main applications of its methods. Next, we review works demonstrating current trends in the development of methods and algorithms for data hiding in digital images. This review is not exhaustive; it focuses on contemporary works illustrating current research directions in the field of information embedding in digital images. This is the main feature of review, which distinguishes it from previously published reviews. The paper concludes with an analysis of identified problems in the field of digital steganography and digital watermarking.

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High capacity adaptive image steganography with cover region selection using dual-tree complex wavelet transform

Cited by 59 publications

References 38 publications

A Graphical Based Video Steganography

A Graphical Based Video Steganography

Large-Capacity Image Data Hiding based on Table Look-up

Digital Steganography and Watermarking for Digital Images: A Review of Current Research Directions

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