A high payload steganographic algorithm based on edge detection

Bai, Junlan; Chang, Chin‐Chen; Nguyen, Thai-Son; Zhu, Ce; Liu, Yanjun

doi:10.1016/j.displa.2016.12.004

Cited by 95 publications

(78 citation statements)

References 12 publications

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“…The number of image edge areas greatly affects the amount of payload capacity of messages that can be embedded in the image. Study [11], also proves that edge detection with a Sobel algorithm has a smaller payload compared to a Canny, whereas by inserting a message according to the maximum payload, of course, the Sobel algorithm gets the best imperceptibility quality and this has also been proved. In the research, however, there is no trial insertion of messages with the same payload, so we cannot know the quality of imperceptibility with the same payload number of the messages.…”

Section: Experimental Results and Analysismentioning

confidence: 76%

“…Steganography has several important aspects, such as imperceptibility and message capacity, that can be embedded [10]. Researches on steganography have concentrated on improving both aspects, e.g., studies [1,[11][12][13]. The studies propose the insertion of secret messages on the edge area of images based on the LSB method to improve the aspect of imperceptibility.…”

Section: Introductionmentioning

confidence: 99%

“…B a i et al [11] also propose a steganographic LSB technique on the edge area. In the study, the pixels in the cover image are classified into two parts, i.e.…”

Section: Introductionmentioning

confidence: 99%

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An Enhanced LSB-Image Steganography Using the Hybrid Canny-Sobel Edge Detection

Setiadi

Jumanto

2018

Cybernetics and Information Technologies

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The Internet is a public network with many issues of data transfer security. Steganography is a data transmission security technique that is done by hiding the message in a container media, such as an image. The media certainly has its limited payload to accommodate the embedded data. This paper proposes a method for increasing the payload of secret messages in an image. The edge area is used to accommodate more message bits because the image edge area can better tolerate pixel value changes. In this research paper, Canny and Sobel detectors are combined to get a wider edge area. This two-detector combined method provides a larger edge area for greater payload of messages while maintaining imperceptibility of stegoimages.

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Section: Experimental Results and Analysismentioning

confidence: 76%

Section: Introductionmentioning

confidence: 99%

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An Enhanced LSB-Image Steganography Using the Hybrid Canny-Sobel Edge Detection

Setiadi

Jumanto

2018

Cybernetics and Information Technologies

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“…Usually, in LSB-based methods, the secret data bits are substituted in k-least significant bits of each pixel. In the literature, various types of LSB-based techniques have been proposed [7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23] targeted at high capacity, visual quality and security.…”

Section: Related Workmentioning

confidence: 99%

High-Capacity Image Steganography with Minimum Modified Bits Based on Data Mapping and LSB Substitution

et al. 2018

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Steganography is the art and practice of communication using hidden messages. The least significant bits (LSB) based method is the well-known type of steganography in the spatial domain. Usually, achieving the larger embedding capacity in LSB-based methods requires a large number of LSB bits modification which indirectly reduces the visual quality of stego-image and increases the risk of steganalysis detection attacks. In this study, we propose a novel steganography method with data mapping strategy which can reduce the number of bits modification per pixel. In the proposed method, four secret data bits are mapped with the four most significant bits of a cover pixel. Furthermore, the only two LSBs of a pixel are modified to indicate the mapping strategy. Experimental results show that the proposed method is able to achieve 3.48% larger embedding capacity while enhancing the visual quality (i.e., peak signal to noise ratio (PSNR) 3.73 dB) and reducing the modification of 0.76 bits per pixel. Moreover, the proposed method provides security against basic Regular and Singular groups (RS) steganalysis and histogram steganalysis detection attacks.

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“…Many data hiding schemes [1][2][3][4][5][6][7] have been proposed for different digital data in the last decade. After Richardson introduced the H.264/AVC video compression standard [8] in 2003, this standard has been used extensively for hiding secret data [9][10][11][12][13][14][15][16][17][18][19].…”

Section: Introductionmentioning

confidence: 99%

High Embedding Capacity Data Hiding Algorithm for H.264/AVC Video Sequences without Intraframe Distortion Drift

Nguyen

Chang

et al. 2018

Security and Communication Networks

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Data hiding is a technique that allows secret data to be delivered securely by embedding the data into cover digital media. In this paper, we propose a new data hiding algorithm for H.264/advanced video coding (AVC) of video sequences with high embedding capacity. In the proposed scheme, to embed secret data into the quantized discrete cosine transform (QDCT) coefficients of frames without any intraframe distortion drift, some embeddable coefficient pairs are selected in each block, and they are divided into two different groups, i.e., the embedding group and the averting group. The embedding group is used to carry the secret data, and the averting group is used to prevent distortion drift in the adjacent blocks. The experimental results show that the proposed scheme can avoid intraframe distortion drift and guarantee low distortion of video sequences. In addition, the proposed scheme provides enhanced embedding capacity compared to previous schemes. Moreover, the embedded secret data can be extracted completely without the requirement of the original secret data.

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A high payload steganographic algorithm based on edge detection

Cited by 95 publications

References 12 publications

An Enhanced LSB-Image Steganography Using the Hybrid Canny-Sobel Edge Detection

An Enhanced LSB-Image Steganography Using the Hybrid Canny-Sobel Edge Detection

High-Capacity Image Steganography with Minimum Modified Bits Based on Data Mapping and LSB Substitution

High Embedding Capacity Data Hiding Algorithm for H.264/AVC Video Sequences without Intraframe Distortion Drift

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