{"title":"恢复重新捕获的屏幕图像与分而治之策略","authors":"Yujing Sun;Hao Xiong;Siu Ming Yiu","doi":"10.1109/TBDATA.2024.3442538","DOIUrl":null,"url":null,"abstract":"Moiré patterns in recaptured screen images are image defects that can affect image quality to an extreme extent. Different from other image defects, moiré artefacts can vary greatly in scales, colours and shapes. Such moiré patterns mix with image content and disturb image features of different scales in different ways, making moiré pattern removal a challenging task. In this paper, we present a novel divide-and-conquer strategy to solve the problem. In the divide stage, we innovatively decompose images into different layers, as well as into structure components and detail components. Then in the conquer stage, guided by the layers retrieved from the divide stage, we can restore coarse and fine image components independently, which greatly improve the demoiréing performance. Our strategy outperforms state-of-arts in both quantitative and qualitative evaluations.","PeriodicalId":13106,"journal":{"name":"IEEE Transactions on Big Data","volume":"11 3","pages":"1103-1115"},"PeriodicalIF":7.5000,"publicationDate":"2024-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Restoration of Recaptured Screen Images With a Divide and Conquer Strategy\",\"authors\":\"Yujing Sun;Hao Xiong;Siu Ming Yiu\",\"doi\":\"10.1109/TBDATA.2024.3442538\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Moiré patterns in recaptured screen images are image defects that can affect image quality to an extreme extent. Different from other image defects, moiré artefacts can vary greatly in scales, colours and shapes. Such moiré patterns mix with image content and disturb image features of different scales in different ways, making moiré pattern removal a challenging task. In this paper, we present a novel divide-and-conquer strategy to solve the problem. In the divide stage, we innovatively decompose images into different layers, as well as into structure components and detail components. Then in the conquer stage, guided by the layers retrieved from the divide stage, we can restore coarse and fine image components independently, which greatly improve the demoiréing performance. Our strategy outperforms state-of-arts in both quantitative and qualitative evaluations.\",\"PeriodicalId\":13106,\"journal\":{\"name\":\"IEEE Transactions on Big Data\",\"volume\":\"11 3\",\"pages\":\"1103-1115\"},\"PeriodicalIF\":7.5000,\"publicationDate\":\"2024-08-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Transactions on Big Data\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10634820/\",\"RegionNum\":3,\"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 Big Data","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10634820/","RegionNum":3,"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}
Restoration of Recaptured Screen Images With a Divide and Conquer Strategy
Moiré patterns in recaptured screen images are image defects that can affect image quality to an extreme extent. Different from other image defects, moiré artefacts can vary greatly in scales, colours and shapes. Such moiré patterns mix with image content and disturb image features of different scales in different ways, making moiré pattern removal a challenging task. In this paper, we present a novel divide-and-conquer strategy to solve the problem. In the divide stage, we innovatively decompose images into different layers, as well as into structure components and detail components. Then in the conquer stage, guided by the layers retrieved from the divide stage, we can restore coarse and fine image components independently, which greatly improve the demoiréing performance. Our strategy outperforms state-of-arts in both quantitative and qualitative evaluations.
期刊介绍:
The IEEE Transactions on Big Data publishes peer-reviewed articles focusing on big data. These articles present innovative research ideas and application results across disciplines, including novel theories, algorithms, and applications. Research areas cover a wide range, such as big data analytics, visualization, curation, management, semantics, infrastructure, standards, performance analysis, intelligence extraction, scientific discovery, security, privacy, and legal issues specific to big data. The journal also prioritizes applications of big data in fields generating massive datasets.