An integer wavelet transform image steganography method based on 3D sine chaotic map

Valandar, Milad Yousefi; Barani, Milad Jafari; Ayubi, Peyman; Aghazadeh, Maryam

doi:10.1007/s11042-018-6584-2

Cited by 83 publications

(31 citation statements)

References 39 publications

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“…The average results of these tests are shown in Table 2. In the above table, focused of obtained results SSIM, NC and BER tests, we can conclude that the presented watermarking approach has better robustness against attacks in the embedding and the extracting processes of the proposed approach [35].…”

Section: Comparison Of Obtained Resultsmentioning

confidence: 74%

“…Journal of Computer and CommunicationsAnother statistic parameter use is Normalized Correlation (NC) which measures the similarity and difference between original watermark and extracted watermark. Generally, NC obtained between 1 and 0.7 is acceptable[35].Another statistic parameter use is Normalized Correlation (NC) which measures the similarity and difference between original watermark and extracted watermark. Generally NC obtained between 1 and 0.7 is acceptable.…”

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confidence: 99%

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A Robust Non-Blind Watermarking for Biomedical Images Based on Chaos

Alexendre¹,

Pascal²,

Thierry³

et al. 2021

JCC

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The advent of the Internet in these last years encouraged a considerable traffic of digital images. In the sanitary field, precisely in telemedicine branch, medical images play a very important role for therapeutic diagnoses. Thus, it is necessary to protect medical images data before transmission over the network to preserve their security and prevent unauthorized access. In this paper, a secure algorithm for biomedical images encryption scheme based on the combination of watermarking technique and chaotic function is proposed. In the proposed method, to achieve high security level performances, a non-blind hybrid watermarking technique with audio signal, Discrete Wavelet Transform is used; smoothness is also used as selected criteria; the iterations obtained by the chaotic sequences are essential and allow a good realization of the encryption process. One of the main advantages of chaos-based encryption schemes is the generation of a large number of key spaces to resist brute force attacks from the encryption algorithm. The experimental results presented in this paper attest to the invisibility and robustness of the proposed algorithm combining watermarking and chaos-based encryption.

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Section: Comparison Of Obtained Resultsmentioning

confidence: 74%

mentioning

confidence: 99%

A Robust Non-Blind Watermarking for Biomedical Images Based on Chaos

Alexendre¹,

Pascal²,

Thierry³

et al. 2021

JCC

View full text Add to dashboard Cite

show abstract

“…As shown in Table.1, we briefly introduced the central idea of the above core steganography algorithm. Based on them, many steganography algorithms with higher security have been derived in recent years, the latest IWT steganography based on 3D sine chaotic map which has high security and acceptable robustness [23]. The combination with hardware, especially FPGA(field programmable gate array), can further improve the security [24].…”

Section: Background a Traditional Image Steganographymentioning

confidence: 99%

Coverless Image Steganography: A Survey

et al. 2019

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With the digitalization of information, a lot of multimedia data are under attack, information security has become a key issue of public concern. Image steganography, aiming at using cover images to convey secret information has become one of the most challenge and important subjects in the field of information security recently. Different from the traditional image steganography, coverless image steganography does not need to employ the designated cover image for embedding the secret data but directly transfers secret information through its own properties such as pixel brightness value, color, texture, edge, contour and high-level semantics. Therefore, it radically resist the detection of steganalysis tools and significantly improves the security of the image. Its basic idea is to analyze the attributes of the image and map them to the secret information according to certain rules based on the characteristics of the attributes. This paper includes more than 50 key contributions to provide a comprehensive survey in this field, covers the main aspects of coverless image steganography research: the fundamental frameworks, preprocessing, feature extraction, generation of hash sequence and mapping relationships. The existing methods are evaluated and the prospect of future work is also summarized.

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“…Literatures [8][9][10] proposed the use of wavelet transform to achieve fast image matching, which has good timefrequency localization, multi-resolution analysis and suppression of high-frequency noise advantages, but the image feature extraction is subject to the selected wavelet base greater impact. Tang et al [11] proposed Harris corner detection feature matching algorithm, which is a kind of corner extraction directly based on gray image, with high stability and sensitivity to l-shaped corner detection.…”

Section: Introductionmentioning

confidence: 99%

Mobile Terminal Video Image Fuzzy Feature Extraction Simulation Based on SURF Virtual Reality Technology

Feng

2020

IEEE Access

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Extracting the fuzzy feature of the mobile video image can effectively improve the low illumination image quality. Traditional methods are used to construct fuzzy feature indexes of mobile terminal video images, and the detailed information of video images is divided, but the bidirectional matching of feature points is ignored, which leads to low extraction accuracy. Therefore, this paper proposes a method for extracting fuzzy features of mobile terminal video images based on SURF-based virtual reality technology. First, perform video image grayscale extraction on the input mobile terminal video image, and detect the closed area in the mobile terminal video image as the radiation invariant area of the terminal video image. Secondly, Hessian matrix is used to detect the feature points of the image, and the non-maximum suppression method and interpolation operation are used to find and locate the extreme value points. Then, the main direction of feature points was determined, and SURF description operator was used for matching to obtain initial matching point pairs. Finally, the obtained fuzzy feature one-way matching result of the video image is matched in two directions, the closest distance ratio is used to match the feature points, and the full constraint condition is used to filter out the wrong matching point pairs, thereby completing the mobile terminal video image fuzzy feature extraction. The experimental results show that the proposed algorithm is effective in feature extraction and matching, stability and speed. The misrecognition rate of the algorithm in this paper is 0.101, and the time used is only 0.41 s, which fully meets the real-time requirements.

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An integer wavelet transform image steganography method based on 3D sine chaotic map

Cited by 83 publications

References 39 publications

A Robust Non-Blind Watermarking for Biomedical Images Based on Chaos

A Robust Non-Blind Watermarking for Biomedical Images Based on Chaos

Coverless Image Steganography: A Survey

Mobile Terminal Video Image Fuzzy Feature Extraction Simulation Based on SURF Virtual Reality Technology

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