A digital image watermarking method based on host image analysis and genetic algorithm

Han, Jingmin; Zhao, Xiaohui; Qiu, Chunyan

doi:10.1007/s12652-015-0298-3

Cited by 26 publications

(7 citation statements)

References 32 publications

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“…The detailed display of the solid models is insufficient to display the design scheme unilaterally. The emergence of VR technology has created a new method of visual design [17][18]. Based on the underwater function of VR technology, users and designers can experience the building from the original perspective before the building is completed, so it can more intuitively display the building space that the previous two-dimensional map cannot understand.…”

Section: Application Of Vr-based Image Analysismentioning

confidence: 99%

Retracted: Image Analysis System of Intelligent Smart Home Based on VR

2020

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With the increasing aging today, the rich life experience has become a topic that people are urgently concerned about. This research mainly discusses the research and application of VR-based smart home image analysis system. This research combines the intelligent design and implementation of the image analysis system of VR technology. The system uses 2D image processing, segmentation, and recognition to filter out information that is of interest to the image, which is helpful for a reasonable plan for smart homes. During the experiment, a mixed model was used to model the background scene, the background difference method was used to detect the moving target in the image, and then the face detection of the moving target was performed. Through such simple real-time image processing, the necessity of real-time video monitoring is realized. After that, the abnormal image data can be saved to provide effective evidence, and the system will issue a warning after detecting the abnormality, which can effectively monitor specific areas such as home. 110 frames of video clips of people actually walking indoors are used for face detection. Experimentally, the acquisition speed of the VR technology camera is 24 frames per second, and the resolution is 420*250. The research results show that image processing is an indispensable part of the intelligent process of video surveillance. It can also be said that the image processing technology of VR technology is more suitable for the smart and suitable home.

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Section: Application Of Vr-based Image Analysismentioning

confidence: 99%

Retracted: Image Analysis System of Intelligent Smart Home Based on VR

2020

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“…It was tested under Gaussian noise attack in the density of 0.001, median filter (MF) (3×3), and JPEG compression with the quality factor (QF=60). Table .11 summarizes the obtained results of the comparison of NC value between the proposed scheme and the schemes proposed by Han et al (2016) and Kang et al (2020) as follows: 2020) with the tested images (Lena, Mandrill and Airplane) under Gaussian noise attack in the density of 0.001, median filter (MF) (3×3), and JPEG compression by the quality factor (QF=60). As for the image Barbara, the scheme presented by Kang et al (2020) outperformed the other schemes under all tested attacks.…”

Section: Comparison Of Robustness Performance With Other Schemes In T...mentioning

confidence: 99%

The optimal scaling factor based on Secant Method for image watermarking using the hybrid DTCWT-DCT domain

Lebcir,

Suryanti Awang,

Ali Benziane

2024

Iraqi Journal For Computer Science and Mathematics

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This paper proposes an implementation of the secant optimization method on the watermarkembedding in DTCWT domain. An objective function combining PSNR and NC (The Normalized Correlation)values calculated for a set of common attacks is used in the optimization process. The aim is to enhance the tradeoff between robustness and imperceptibility against the various image processing attacks via an automatic andcareful selection of the scaling factor using optimization. The watermark is inserted in the high energy bands ofDCT-transformed sub-vectors, which were generated from the DTCWT coefficient decomposition of the hostimage. Experimental results performed on a set of 512×512 greyscale images, show better results than theexisting schemes for most common image attacks such as compression, low-pass filtering and noise addition.

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“…This method realizes good data payload and imperceptibility, but does not provide a good robustness. Han et al [31] developed a robust and imperceptible watermarking method with a strong embedding capacity based on genetic algorithm. Arya et al [32] proposed a non-blind watermarking method, which embeds two binary watermark bits in LL2 and HH2 sub-bands, and hence obtains a good robustness against attacks like JPEG compression, filtering, and geometric distortions.…”

Section: Literature Reviewmentioning

confidence: 99%

An Improved Medical Image Watermarking Technique Based on Weber’s Law Descriptors

Reddy¹,

Reddy²

2021

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In distributed m-health communication, it is a major challenge to develop an efficient blind watermarking method to protect the confidential medical data of patients. This paper proposes an efficient blind watermarking for medical images, which boasts a very high embedding capacity, a good robustness, and a strong imperceptibility. Three techniques, namely, discrete cosine transform (DCT), Weber’s descriptors (WDs), and Arnold chaotic map, were integrated to our method. Specifically, the Arnold chaotic map was used to scramble the watermark image. Then, the medical image was partitioned into non-over lapping blocks, and each block was subjected to DCT. After that, the scrambled watermark image data were embedded in the middle-band DCT coefficients of each block, such that two bits were embedded in each block. Simulation results show that the proposed watermarking method provides better imperceptibility, robustness, and computational complexity results with higher embedding capacity than the contrastive method.

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A digital image watermarking method based on host image analysis and genetic algorithm

Cited by 26 publications

References 32 publications

Retracted: Image Analysis System of Intelligent Smart Home Based on VR

Retracted: Image Analysis System of Intelligent Smart Home Based on VR

The optimal scaling factor based on Secant Method for image watermarking using the hybrid DTCWT-DCT domain

An Improved Medical Image Watermarking Technique Based on Weber’s Law Descriptors

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