M. Yamni, H. Karmouni, A. Daoui, O. El Ogri, M. Sayyouri, H. Qjidaa
{"title":"基于径向克rawtchouk矩和混沌系统的盲图像零水印算法","authors":"M. Yamni, H. Karmouni, A. Daoui, O. El Ogri, M. Sayyouri, H. Qjidaa","doi":"10.1109/ISCV49265.2020.9204071","DOIUrl":null,"url":null,"abstract":"Image watermarking systems are frequently used tools for copyright protection against unauthorized use of images in unsecured spaces. The conventional method is to embed a copyright mark (watermark) in the original image. However, this strategy is not suitable for sensitive images such as medical, satellite, texture and remote sensing images, etc., because the integrated watermark strongly affects the results of its application tasks. For copyright protection of this type of images, this paper proposes a robust blind zero-watermarking algorithm based on Krawtchouk Radial Moments and a chaotic system. This algorithm does not integrate any information into the original image and satisfactorily ensures robustness against various common image processing attacks and geometric distortions. The experimental study uses different categories of images to evaluate and compare the proposed algorithm with other watermarking and zero-watermarking algorithms in terms of robustness against various image attacks.","PeriodicalId":313743,"journal":{"name":"2020 International Conference on Intelligent Systems and Computer Vision (ISCV)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Blind Image Zero-Watermarking Algorithm Based on Radial Krawtchouk Moments and Chaotic System\",\"authors\":\"M. Yamni, H. Karmouni, A. Daoui, O. El Ogri, M. Sayyouri, H. Qjidaa\",\"doi\":\"10.1109/ISCV49265.2020.9204071\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Image watermarking systems are frequently used tools for copyright protection against unauthorized use of images in unsecured spaces. The conventional method is to embed a copyright mark (watermark) in the original image. However, this strategy is not suitable for sensitive images such as medical, satellite, texture and remote sensing images, etc., because the integrated watermark strongly affects the results of its application tasks. For copyright protection of this type of images, this paper proposes a robust blind zero-watermarking algorithm based on Krawtchouk Radial Moments and a chaotic system. This algorithm does not integrate any information into the original image and satisfactorily ensures robustness against various common image processing attacks and geometric distortions. The experimental study uses different categories of images to evaluate and compare the proposed algorithm with other watermarking and zero-watermarking algorithms in terms of robustness against various image attacks.\",\"PeriodicalId\":313743,\"journal\":{\"name\":\"2020 International Conference on Intelligent Systems and Computer Vision (ISCV)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 International Conference on Intelligent Systems and Computer Vision (ISCV)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISCV49265.2020.9204071\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Intelligent Systems and Computer Vision (ISCV)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCV49265.2020.9204071","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Blind Image Zero-Watermarking Algorithm Based on Radial Krawtchouk Moments and Chaotic System
Image watermarking systems are frequently used tools for copyright protection against unauthorized use of images in unsecured spaces. The conventional method is to embed a copyright mark (watermark) in the original image. However, this strategy is not suitable for sensitive images such as medical, satellite, texture and remote sensing images, etc., because the integrated watermark strongly affects the results of its application tasks. For copyright protection of this type of images, this paper proposes a robust blind zero-watermarking algorithm based on Krawtchouk Radial Moments and a chaotic system. This algorithm does not integrate any information into the original image and satisfactorily ensures robustness against various common image processing attacks and geometric distortions. The experimental study uses different categories of images to evaluate and compare the proposed algorithm with other watermarking and zero-watermarking algorithms in terms of robustness against various image attacks.