{"title":"利用灰度偏差模拟进行抗屏幕拍摄水印处理","authors":"Yiyi Li;Xin Liao;Xiaoshuai Wu","doi":"10.1109/TMM.2024.3415415","DOIUrl":null,"url":null,"abstract":"With the prevalence of electronic devices in our daily lives, content leakages frequently occur, and to enable leakage tracing, screen-shooting resistant watermarking has attracted tremendous attention. However, current studies often overlook a thoughtful investigation of the cross-media screen-camera process and fail to consider the effect of grayscale deviation on the screen. In this paper, we propose \n<underline>s</u>\ncreen-\n<underline>s</u>\nhooting \n<underline>d</u>\nistortion \n<underline>s</u>\nimulation (\n<inline-formula><tex-math>$\\bf {SSDS}$</tex-math></inline-formula>\n), which involves a grayscale deviation function for constructing a more practical noise layer. We divide SSDS into screen displaying and camera shooting. For screen displaying, different viewing angles result in grayscale deviation with distinct intensities, and we simulate the distortions by modeling the relative position of the viewing point and the screen plane. For camera shooting, a series of distortion functions are used to approximate the perturbations in the camera pipeline, including defocus blur, noise and JPEG compression. Furthermore, the gradient-guided encoder is designed to conduct the embedding in the texture region using a modification cost map. Experimental results show that our proposed watermarking framework outperforms the state-of-the-art methods in terms of robustness and visual quality.","PeriodicalId":13273,"journal":{"name":"IEEE Transactions on Multimedia","volume":"26 ","pages":"10908-10923"},"PeriodicalIF":8.4000,"publicationDate":"2024-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Screen-Shooting Resistant Watermarking With Grayscale Deviation Simulation\",\"authors\":\"Yiyi Li;Xin Liao;Xiaoshuai Wu\",\"doi\":\"10.1109/TMM.2024.3415415\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the prevalence of electronic devices in our daily lives, content leakages frequently occur, and to enable leakage tracing, screen-shooting resistant watermarking has attracted tremendous attention. However, current studies often overlook a thoughtful investigation of the cross-media screen-camera process and fail to consider the effect of grayscale deviation on the screen. In this paper, we propose \\n<underline>s</u>\\ncreen-\\n<underline>s</u>\\nhooting \\n<underline>d</u>\\nistortion \\n<underline>s</u>\\nimulation (\\n<inline-formula><tex-math>$\\\\bf {SSDS}$</tex-math></inline-formula>\\n), which involves a grayscale deviation function for constructing a more practical noise layer. We divide SSDS into screen displaying and camera shooting. For screen displaying, different viewing angles result in grayscale deviation with distinct intensities, and we simulate the distortions by modeling the relative position of the viewing point and the screen plane. For camera shooting, a series of distortion functions are used to approximate the perturbations in the camera pipeline, including defocus blur, noise and JPEG compression. Furthermore, the gradient-guided encoder is designed to conduct the embedding in the texture region using a modification cost map. Experimental results show that our proposed watermarking framework outperforms the state-of-the-art methods in terms of robustness and visual quality.\",\"PeriodicalId\":13273,\"journal\":{\"name\":\"IEEE Transactions on Multimedia\",\"volume\":\"26 \",\"pages\":\"10908-10923\"},\"PeriodicalIF\":8.4000,\"publicationDate\":\"2024-06-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Transactions on Multimedia\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10559271/\",\"RegionNum\":1,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Multimedia","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10559271/","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
Screen-Shooting Resistant Watermarking With Grayscale Deviation Simulation
With the prevalence of electronic devices in our daily lives, content leakages frequently occur, and to enable leakage tracing, screen-shooting resistant watermarking has attracted tremendous attention. However, current studies often overlook a thoughtful investigation of the cross-media screen-camera process and fail to consider the effect of grayscale deviation on the screen. In this paper, we propose
s
creen-
s
hooting
d
istortion
s
imulation (
$\bf {SSDS}$
), which involves a grayscale deviation function for constructing a more practical noise layer. We divide SSDS into screen displaying and camera shooting. For screen displaying, different viewing angles result in grayscale deviation with distinct intensities, and we simulate the distortions by modeling the relative position of the viewing point and the screen plane. For camera shooting, a series of distortion functions are used to approximate the perturbations in the camera pipeline, including defocus blur, noise and JPEG compression. Furthermore, the gradient-guided encoder is designed to conduct the embedding in the texture region using a modification cost map. Experimental results show that our proposed watermarking framework outperforms the state-of-the-art methods in terms of robustness and visual quality.
期刊介绍:
The IEEE Transactions on Multimedia delves into diverse aspects of multimedia technology and applications, covering circuits, networking, signal processing, systems, software, and systems integration. The scope aligns with the Fields of Interest of the sponsors, ensuring a comprehensive exploration of research in multimedia.