M. Baldin, N. Kozyrev, I. Gorshunov, V. Kolomoitcev
{"title":"Development and Analysis Methods of Images Quality Improvement with Violation of Contrast","authors":"M. Baldin, N. Kozyrev, I. Gorshunov, V. Kolomoitcev","doi":"10.1109/WECONF48837.2020.9131538","DOIUrl":null,"url":null,"abstract":"Method is proposed to improve the visual quality of images based on algorithms based on histogram equalization. The work examined widely used algorithms of histograms equalization, described their advantages and disadvantages. The classification of images with contrast violation has been introduced. A focus of the work is the development of a new method of image processing with different types of contrast violations. This approach provides improved images quality, regardless of classification and characteristics.","PeriodicalId":303530,"journal":{"name":"2020 Wave Electronics and its Application in Information and Telecommunication Systems (WECONF)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 Wave Electronics and its Application in Information and Telecommunication Systems (WECONF)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WECONF48837.2020.9131538","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Method is proposed to improve the visual quality of images based on algorithms based on histogram equalization. The work examined widely used algorithms of histograms equalization, described their advantages and disadvantages. The classification of images with contrast violation has been introduced. A focus of the work is the development of a new method of image processing with different types of contrast violations. This approach provides improved images quality, regardless of classification and characteristics.