Wavelet-Hadamard based blind image watermarking using genetic algorithm and decision tree

Houby, Enas M. F. El; Yassin, Nisreen I.

doi:10.1007/s11042-020-09333-3

Cited by 13 publications

(3 citation statements)

References 36 publications

(89 reference statements)

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“…The PSNR and MSE are defined in Eqs. ( 15) and ( 16) [20]: cover image and its stego version, where if the value of AD is 0 then cover and stego images are identical. AD is calculated using Eq.…”

Section: Resultsmentioning

confidence: 99%

Image Steganography Technique Based on Integer Wavelet Transform Using Most Significant Bit Categories

2022

IJIES

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In this paper, an image steganographic technique based on Integer Wavelet Transform (IWT) is proposed. The cover image is transformed using IWT to suppress the secret message into the high frequency bands HH, LH, and HL of the cover image. The coefficients of these bands are labelled into six categories according to their most significant bits (MSBs). All coefficients from different bands which belong to the same category are collected. The embedding process starts from the highest category and continues to the next category by controlling the number of coefficients to match the size of the secret message. The test results show that an average PSNR of 54 dB is achieved with a message size of 67.7 kb which considered reasonable result compared to other steganographic techniques. Up to 70% embedding rate can be provided with average PSNR of 47 dB with full reversibility and perfect reconstruction of data.

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Section: Resultsmentioning

confidence: 99%

Image Steganography Technique Based on Integer Wavelet Transform Using Most Significant Bit Categories

2022

IJIES

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“…Wavelets consist of two fundamental properties: scale and location The work by [13] presented a Wavelet-Hadamard GA and decision tree-based image watermarking scheme. The GA was used in the search for optimization to satisfy the tradeoff between robustness and imperceptibility.…”

Section: Background and Related Workmentioning

confidence: 99%

A New Image Watermarking Scheme Using Genetic Algorithm and Residual Numbers with Discrete Wavelet Transform

Agbedemnab,

Akolgo,

Agebure

2023

JIS

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Transmission of data over the internet has become a critical issue as a result of the advancement in technology, since it is possible for pirates to steal the intellectual property of content owners. This paper presents a new digital watermarking scheme that combines some operators of the Genetic Algorithm (GA) and the Residue Number (RN) System (RNS) to perform encryption on an image, which is embedded into a cover image for the purposes of watermarking. Thus, an image watermarking scheme uses an encrypted image. The secret image is embedded in decomposed frames of the cover image achieved by applying a three-level Discrete Wavelet Transform (DWT). This is to ensure that the secret information is not exposed even when there is a successful attack on the cover information. Content creators can prove ownership of the multimedia content by unveiling the secret information in a court of law. The proposed scheme was tested with sample data using MATLAB2022 and the results of the simulation show a great deal of imperceptibility and robustness as compared to similar existing schemes.

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“…To evaluate the performance of the method being proposed, this study uses imperceptibility and robustness measurements [22]. The Peak Signal-to-Noise Ratio (PSNR) in ( 18) is used to measure the watermarked image imperceptibility with/without tampering [23].…”

Section: Performance Evaluationmentioning

confidence: 99%

Visual Quality Improvement of Watermarked Image Based on Singular Value Decomposition Using Walsh Hadamard Transform

Marjuni

Fanani

Nurhayati

2023

Cybernetics and Information Technologies

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Embedding the watermark is still a challenge in image watermarking. The watermark should not reduce the visual quality of the image being watermarked and hard to distinguish from its original. Embedding a watermark of a small size might be a good solution. However, the watermark might be easy to lose if there is any tampering with the watermarked image. This research proposes to increase the visual quality of the watermarked image using the Walsh Hadamard transform, which is applied to the singular value decomposition-based image watermarking. Technically, the watermark image is converted into a low bit-rate signal before being embedded in the host image. Using various watermark sizes, experimental results show that the proposed method could produce a good imperceptibility with 47.10 dB on average and also gives robustness close to the original watermark with a normalized correlation close to 1 on average. The proposed method can also recognize the original watermark from the tampered watermarked image at different levels of robustness.

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Wavelet-Hadamard based blind image watermarking using genetic algorithm and decision tree

Cited by 13 publications

References 36 publications

Image Steganography Technique Based on Integer Wavelet Transform Using Most Significant Bit Categories

Image Steganography Technique Based on Integer Wavelet Transform Using Most Significant Bit Categories

A New Image Watermarking Scheme Using Genetic Algorithm and Residual Numbers with Discrete Wavelet Transform

Visual Quality Improvement of Watermarked Image Based on Singular Value Decomposition Using Walsh Hadamard Transform

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