{"title":"不同图像对比度增强技术的对比分析","authors":"D. Raj, Pushpa Mamoria","doi":"10.1109/ICGCIOT.2015.7380422","DOIUrl":null,"url":null,"abstract":"Contrast enhancement is an important technique of image processing for the enhancement of contrast of an image in the spatial domain. Numbers of contrast enhancement techniques are available. This paper proposes comparative analysis of various contrast enhancement techniques applied on different types of images. PSNR, MSE value and graphical forms are used to analyze the best enhancement technique on corresponding images.","PeriodicalId":400178,"journal":{"name":"2015 International Conference on Green Computing and Internet of Things (ICGCIoT)","volume":"212 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Comparative analysis of contrast enhancement techniques on different images\",\"authors\":\"D. Raj, Pushpa Mamoria\",\"doi\":\"10.1109/ICGCIOT.2015.7380422\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Contrast enhancement is an important technique of image processing for the enhancement of contrast of an image in the spatial domain. Numbers of contrast enhancement techniques are available. This paper proposes comparative analysis of various contrast enhancement techniques applied on different types of images. PSNR, MSE value and graphical forms are used to analyze the best enhancement technique on corresponding images.\",\"PeriodicalId\":400178,\"journal\":{\"name\":\"2015 International Conference on Green Computing and Internet of Things (ICGCIoT)\",\"volume\":\"212 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-10-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 International Conference on Green Computing and Internet of Things (ICGCIoT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICGCIOT.2015.7380422\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Green Computing and Internet of Things (ICGCIoT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICGCIOT.2015.7380422","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Comparative analysis of contrast enhancement techniques on different images
Contrast enhancement is an important technique of image processing for the enhancement of contrast of an image in the spatial domain. Numbers of contrast enhancement techniques are available. This paper proposes comparative analysis of various contrast enhancement techniques applied on different types of images. PSNR, MSE value and graphical forms are used to analyze the best enhancement technique on corresponding images.