{"title":"基于增益限制直方图均衡化的图像增强","authors":"S. Yelmanov, Y. Romanyshyn","doi":"10.1109/EUROCON52738.2021.9535605","DOIUrl":null,"url":null,"abstract":"This study is devoted to the problem of improving digital image and video in real-time applications. This paper looks at the task of enhancing images in automatic mode without distortions and loss of information. This work addresses the challenge of improving the effectiveness of image enhancement based on the use of the technique of clipped histogram equalization. To that end, we offer a new technique to image enhancement by gain-limited histogram equalization (GLHE). The proposed GLHE technique is based on a new approach to normalizing the result of clipped histogram equalization. This approach improves the efficiency of improving complex images without the appearance of undesirable distortions and artifacts. The proposed GLHE technique is intended to be used in real-time applications to normalize and improve video content.","PeriodicalId":328338,"journal":{"name":"IEEE EUROCON 2021 - 19th International Conference on Smart Technologies","volume":"101 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Image Enhancement by Gain-Limited Histogram Equalization\",\"authors\":\"S. Yelmanov, Y. Romanyshyn\",\"doi\":\"10.1109/EUROCON52738.2021.9535605\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study is devoted to the problem of improving digital image and video in real-time applications. This paper looks at the task of enhancing images in automatic mode without distortions and loss of information. This work addresses the challenge of improving the effectiveness of image enhancement based on the use of the technique of clipped histogram equalization. To that end, we offer a new technique to image enhancement by gain-limited histogram equalization (GLHE). The proposed GLHE technique is based on a new approach to normalizing the result of clipped histogram equalization. This approach improves the efficiency of improving complex images without the appearance of undesirable distortions and artifacts. The proposed GLHE technique is intended to be used in real-time applications to normalize and improve video content.\",\"PeriodicalId\":328338,\"journal\":{\"name\":\"IEEE EUROCON 2021 - 19th International Conference on Smart Technologies\",\"volume\":\"101 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-07-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE EUROCON 2021 - 19th International Conference on Smart Technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EUROCON52738.2021.9535605\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE EUROCON 2021 - 19th International Conference on Smart Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EUROCON52738.2021.9535605","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Image Enhancement by Gain-Limited Histogram Equalization
This study is devoted to the problem of improving digital image and video in real-time applications. This paper looks at the task of enhancing images in automatic mode without distortions and loss of information. This work addresses the challenge of improving the effectiveness of image enhancement based on the use of the technique of clipped histogram equalization. To that end, we offer a new technique to image enhancement by gain-limited histogram equalization (GLHE). The proposed GLHE technique is based on a new approach to normalizing the result of clipped histogram equalization. This approach improves the efficiency of improving complex images without the appearance of undesirable distortions and artifacts. The proposed GLHE technique is intended to be used in real-time applications to normalize and improve video content.