{"title":"无参数边缘保持彩色图像扩散","authors":"A. Alsam","doi":"10.1109/IWSSIP.2015.7399668","DOIUrl":null,"url":null,"abstract":"The sensors of a typical digital camera are broad-band, i.e. they cover most of the visible spectrum. This means that the images from the RGB channels are highly correlated. Specifically, if a luminance edge appears in one channel then it is highly likely an edge in the other two. This paper presents a parameterless diffusion algorithm that explores the correlation between the colour channels to remove noise and compression artifacts.","PeriodicalId":249021,"journal":{"name":"2015 International Conference on Systems, Signals and Image Processing (IWSSIP)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Parameterless edge preserving colour image diffusion\",\"authors\":\"A. Alsam\",\"doi\":\"10.1109/IWSSIP.2015.7399668\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The sensors of a typical digital camera are broad-band, i.e. they cover most of the visible spectrum. This means that the images from the RGB channels are highly correlated. Specifically, if a luminance edge appears in one channel then it is highly likely an edge in the other two. This paper presents a parameterless diffusion algorithm that explores the correlation between the colour channels to remove noise and compression artifacts.\",\"PeriodicalId\":249021,\"journal\":{\"name\":\"2015 International Conference on Systems, Signals and Image Processing (IWSSIP)\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 International Conference on Systems, Signals and Image Processing (IWSSIP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IWSSIP.2015.7399668\",\"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 Systems, Signals and Image Processing (IWSSIP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWSSIP.2015.7399668","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The sensors of a typical digital camera are broad-band, i.e. they cover most of the visible spectrum. This means that the images from the RGB channels are highly correlated. Specifically, if a luminance edge appears in one channel then it is highly likely an edge in the other two. This paper presents a parameterless diffusion algorithm that explores the correlation between the colour channels to remove noise and compression artifacts.