{"title":"量化复杂图像的感知对比度","authors":"S. Yelmanov, Y. Romanyshyn","doi":"10.1109/TCSET49122.2020.235445","DOIUrl":null,"url":null,"abstract":"This paper addresses the problem of no-reference assessing the overall image contrast. The purpose of this work is to increase the accuracy of quantifying the perceived contrast of the multi-element image. To this end, we propose a new approach to quantify the perceived contrast of a complex multi-element image. The proposed approach is based on the analysis of the dependencies of brightness increments on the image adaptation level and the size ratio of image elements. Based on the proposed approaches, new techniques for quantifying the incomplete integral contrast also are considered. Research confirms the effectiveness of the proposed approach to quantifying the perceived contrast of complex images.","PeriodicalId":389689,"journal":{"name":"2020 IEEE 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Quantifying the Perceived Contrast of Complex Images\",\"authors\":\"S. Yelmanov, Y. Romanyshyn\",\"doi\":\"10.1109/TCSET49122.2020.235445\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper addresses the problem of no-reference assessing the overall image contrast. The purpose of this work is to increase the accuracy of quantifying the perceived contrast of the multi-element image. To this end, we propose a new approach to quantify the perceived contrast of a complex multi-element image. The proposed approach is based on the analysis of the dependencies of brightness increments on the image adaptation level and the size ratio of image elements. Based on the proposed approaches, new techniques for quantifying the incomplete integral contrast also are considered. Research confirms the effectiveness of the proposed approach to quantifying the perceived contrast of complex images.\",\"PeriodicalId\":389689,\"journal\":{\"name\":\"2020 IEEE 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET)\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TCSET49122.2020.235445\",\"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 IEEE 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TCSET49122.2020.235445","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Quantifying the Perceived Contrast of Complex Images
This paper addresses the problem of no-reference assessing the overall image contrast. The purpose of this work is to increase the accuracy of quantifying the perceived contrast of the multi-element image. To this end, we propose a new approach to quantify the perceived contrast of a complex multi-element image. The proposed approach is based on the analysis of the dependencies of brightness increments on the image adaptation level and the size ratio of image elements. Based on the proposed approaches, new techniques for quantifying the incomplete integral contrast also are considered. Research confirms the effectiveness of the proposed approach to quantifying the perceived contrast of complex images.