RETRACTED ARTICLE: Digital image Watermark embedding and extraction using oppositional fruit Fly algorithm

Robust as well as secure image watermarking is capable of providing a promising solution in many copyright protection applications. In this paper, an improved image watermarking scheme based on DFT with a decomposition algorithm is proposed. First, two dimensional (2D) Fast Fourier Transform (FFT) is applied to the host image, and then its singular value decomposition (SVD) is performed. Second, the watermark image is encrypted with a chaotic map for ensuring security against unauthorized detection, and then its 2D FFT and SVD are also performed. Third, the singular values of the watermark image are embedded into the singular values of the host image. The hybridization of DFT with SVD ensures the increasing performance of the watermarking system from the perspectives of visual distortion and robustness. Experimental results show that our proposed method is highly robust and also imperceptible with a large watermark size and increased security than the classical DFT-based methods.

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“…Future work will focus on removing these drawbacks. 2018 [35] 2019 [36] 2020 [37] 2020 [38] 2020 [39] Proposed method…”

Section: Discussionmentioning

confidence: 99%

“…There are some other methods where DFT is used [30][31][32][33]. Besides, there exist other transform domain methods using decomposition or optimization algorithms [34][35][36][37][38][39].…”

Section: Related Workmentioning

confidence: 99%

Implementation of Secured and Robust DFT-Based Image Watermark Through Hybridization with Decomposition Algorithm

Begum

Uddin

2021

SN COMPUT. SCI.

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“…To verify the effectiveness of our proposed method, we compare the PSNR values of the carrier images after inserting the watermark information, using Lena as a specific example, with methods 38–41 . Table 1 shows that the PSNR value of our proposed method is higher than those of the previously proposed methods.…”

Section: Methodsmentioning

confidence: 99%

“…In the case of having attacks, we compare the NC values with other methods [41][42][43] under six forms of attacks, such as shear and pretzel, all of which reflect the effectiveness of the proposed method. Specially, JPEG with Q = 100, NC = 1.…”

Section: Implementation Detailsmentioning

confidence: 99%

Digital watermarking method for image feature point extraction and analysis

Shan

Zhou

Zhang

et al. 2022

Int J of Intelligent Sys

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Multimedia information (e.g., photos) is subject to numerous attacks when extensively dispersed, excellent stealth and robustness play a critical role in information concealment. Next, to further improve the imperceptibility of the generated images, we introduce an information embedding based on feature extraction, since the feature points themselves are robust as strong corner points in the images. We will perform specific practical applications in information-hiding scenarios, such as ticket anticounterfeiting, copyright protection, tampering hints, and covert marking. As a result, while assuring the accuracy of hidden data, assault resistance must also be addressed. In this paper, a strategy for watermark embedding utilizing image feature points is proposed. In principle, the embedding and extraction of digital watermarks are achieved in the transform domain by discrete wavelet transform processing to make digital images more robust than before. The effectiveness of the algorithm is analyzed by experimental data, in which different wavelet bases are used. To check the robustness of the watermarking algorithm, various attacks are performed on watermarked images.

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“…To improve the speed and stability of robot operations, Raka et al [20] established the fitness function through particle swarm optimization (PSO), and formulated a visual servo control system for fruit sorting robot, which does not include the Jacobian matrix of target image and the calibration process. Traditional visual algorithms could hardly classify and position various types of fruits with complex shapes [21][22][23][24][25][26]. The previous studies mostly concentrate on the design of robot structure, and the control of robot motions.…”

Section: Introductionmentioning

confidence: 99%

Target Positioning and Sorting Strategy of Fruit Sorting Robot Based on Image Processing

Yu¹,

Miao²,

Zhang³

et al. 2021

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To a certain extent, automated fruit sorting systems reflect the degree of automated production in modern food industry, and boast a certain theoretical and application value. The previous studies mostly concentrate on the design of robot structure, and the control of robot motions. There is little report on the feature extraction of fruits in specific applications of fruit sorting. For this reason, this paper explores the target positioning and sorting strategy of fruit sorting robot based on image processing. Firstly, the authors constructed a visual sorting system for fruit sorting robot, and explained the way to recognize objects in three-dimensional (3D) scene and to reconstruct the spatial model based on sorting robot. Next, the maturity of the identified fruits was considered the prerequisite of dynamic sorting of fruit sorting robot. Finally, the program flow of the fruit sorting robot was given. The effectiveness of our strategy was verified through experiments.

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RETRACTED ARTICLE: Digital image Watermark embedding and extraction using oppositional fruit Fly algorithm

Cited by 22 publications

References 18 publications

Implementation of Secured and Robust DFT-Based Image Watermark Through Hybridization with Decomposition Algorithm

Implementation of Secured and Robust DFT-Based Image Watermark Through Hybridization with Decomposition Algorithm

Digital watermarking method for image feature point extraction and analysis

Target Positioning and Sorting Strategy of Fruit Sorting Robot Based on Image Processing

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