Blind Photograph Watermarking with Robust Defocus-Based JND Model

Wang, Chunxing; Li, Xiaoxiao; Xu, Meiling; Wang, Jun; Wan, Wenbo

doi:10.1155/2020/8892349

Cited by 4 publications

(10 citation statements)

References 40 publications

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“…e results show that the subjects' visual efficacy is the best under the illumination of more than 900 LX, and the illumination between 400 and 500 LX makes the subjects feel the most comfortable. It is suggested that the visual comfort factor should be properly considered in the lighting environment in pursuit of efficient work and mental stimulation [7]. Kumar et al studied the visual comfort of subjects in screen reading and paper reading under different combinations of illumination and color temperature in a small office space through a subjective evaluation experiment.…”

Section: Literature Reviewmentioning

confidence: 99%

The Evaluation of Visual Clarity and Comfort of Light Environment in Multimedia Classroom

Dong

2022

Journal of Robotics

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In order to clarify the quantitative relationship between students’ visual clarity, comfort, and environmental brightness in the light environment of multimedia classrooms in colleges and universities and obtain the threshold and influence trends of brightness, visual clarity, and visual comfort in the light environment of the multimedia classroom, this paper proposes the research on the relevant influence parameters of the light environment of the multimedia classroom. Based on the analysis of the current situation of multimedia use in China, this paper proposes taking brightness as the main parameter of indoor light environment evaluation to carry out students’ subjective evaluation experiments. The brightness range that can reflect the visual clarity and visual comfort of the experimenter is extracted by using multimedia combined with screen projection and HDRI technology. Finally, by analyzing the experimental data, combined with the operational definition of the psychophysical threshold, the functional relationship between visual clarity, comfort, and brightness in the light environment of a multimedia classroom is obtained through regression analysis and the threshold and extreme point data are calculated. The experimental results show that when the brightness range is 370.83 cd/m2 ≤ X ≤ 558.47 cd/m2, it has better visual clarity and visual comfort. When the brightness contrast is close to 10 : 1, the visual clarity is the highest; when the brightness contrast is close to 5 : 1, the visual comfort is the highest and decreases on both sides with the change in its value. Conclusion. The results of this experimental study can provide a basis for formulating and revising relevant laws and regulations in the future and provide a reference for the light environment design of multimedia classrooms in China.

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Section: Literature Reviewmentioning

confidence: 99%

The Evaluation of Visual Clarity and Comfort of Light Environment in Multimedia Classroom

Dong

2022

Journal of Robotics

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“…From Table 3, it can be seen that the proposed method performs a better result. The BERs of the proposed method are about 5% lower than the method Wang et al 11 in JPEG60 + GN attacks, which is a valuable improvement. The BERs of the proposed method are about 1% lower than the method Wang et al 10 in JPEG60 + SPN and JPEG60 + Scaling attacks.…”

Section: Resultsmentioning

confidence: 77%

“…Then, the defocusing feature map is obtained by integrating the influence of surrounding blocks, and it is applied to the proposed JND CM processing. On this basis, a new blind image watermarking algorithm based on defocus JND estimation is proposed 11 . Zhang et al proposed a new block‐level perceptual image watermarking framework, including three‐directional correlation and block‐level JND models 12 .…”

Section: Introductionmentioning

confidence: 99%

“…On this basis, a new blind image watermarking algorithm based on defocus JND estimation is proposed. 11 Zhang et al proposed a new block-level perceptual image watermarking framework, including three-directional correlation and block-level JND models. 12 Kalra et al proposed an algorithm for color images that utilize the advantages of discrete wavelet transform, Arnold transform, Chaos and Hamming as Error Correcting Code in frequency domain.…”

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confidence: 99%

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Robust watermarking based on blur‐guided JND model for macrophotography images

Wan

Shan

Liu

et al. 2022

Int J of Intelligent Sys

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Macrophotography Images (MPIs) have recently emerged as an active topic due to the development of mobile phone camera technology. A large number of MPIs have been rapidly increasing in many rich visual services, such as smartphones or high‐definition monitors. MPIs are often composed of sharp macroimage and blur background, which exhibit different perceptual properties that often lead to different just noticeable difference (JND) estimation. Inspired by this, we formulate the blur concealment (BC) as another factor to determine the total masking effect: the interaction is relatively straightforward with a limited masking effect in the sharp regions, and is complicated with a strong masking effect in the blur parts. Furthermore, texture and orientation adaption and color information weighting are separately incorporated into the contrast masking and color masking. Finally, considering both BC and masking effects, a novel robust watermarking framework based on the proposed blur‐guided JND model for MPIs, targeting at further improving the MPIs copyright protection performance. Extensive experiments on MP2020 and Blur Detection data sets show that the applicability of the proposed JND model in the scenario of perceptually MPIs watermarking, and our proposed scheme can outperform the state‐of‐the‐art watermarking schemes by providing better robustness performance at the uniform visual quality.

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“…Because a video can be regarded as a temporally continuous collection of still images, most image watermarking schemes [13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29] are also applicable for video watermarking. Existing image watermarking algorithms offer some ideas for resisting geometric attacks, and video watermarking can use these as references.…”

Section: Introductionmentioning

confidence: 99%

Enhancing Feature Point‐Based Video Watermarking against Geometric Attacks with Template

Guan

Huang

et al. 2021

Wireless Communications and Mobile Computing

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As the Internet and communication technologies have developed quickly, the spread and usage of online video content have become easier, which results in major infringement problems. While video watermarking may be a viable solution for digital video content copyright protection, overcoming geometric attacks is a significant challenge. Although feature point-based watermarking algorithms are expected to be very resistant to these attacks, they are sensitive to feature region localization errors, resulting in poor watermark extraction accuracy. To solve this issue, we introduce the template to enhance the location accuracy of feature point-based watermarking. Furthermore, a scene change-based frame allocation method is presented, which arranges the template and the watermark to be embedded into different frames and eliminates their mutual interference, enhancing the performance of the proposed algorithm. According to the experimental results, our algorithm outperforms state-of-the-art methods in terms of robustness against geometric attacks under close imperceptibility.

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Blind Photograph Watermarking with Robust Defocus-Based JND Model

Cited by 4 publications

References 40 publications

The Evaluation of Visual Clarity and Comfort of Light Environment in Multimedia Classroom

The Evaluation of Visual Clarity and Comfort of Light Environment in Multimedia Classroom

Robust watermarking based on blur‐guided JND model for macrophotography images

Enhancing Feature Point‐Based Video Watermarking against Geometric Attacks with Template

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