{"title":"对各种图像进行纹理分析,寻找自相似性","authors":"S. Tripathi, J. Kumar","doi":"10.1109/ICACEA.2015.7164677","DOIUrl":null,"url":null,"abstract":"Maximum bandwidth of the network is flooded with multimedia messages nowadays. Components of these messages are audio, video and images. Image is the basic unit of these multimedia messages. This paper analyzes textures of various types of images and finds self similarities within the image. Self similarities at various scales are discussed in the paper. These self similarities then form the basis for image compression with fractal approach.","PeriodicalId":202893,"journal":{"name":"2015 International Conference on Advances in Computer Engineering and Applications","volume":"144 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Texture analysis of various images to find self-similarities\",\"authors\":\"S. Tripathi, J. Kumar\",\"doi\":\"10.1109/ICACEA.2015.7164677\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Maximum bandwidth of the network is flooded with multimedia messages nowadays. Components of these messages are audio, video and images. Image is the basic unit of these multimedia messages. This paper analyzes textures of various types of images and finds self similarities within the image. Self similarities at various scales are discussed in the paper. These self similarities then form the basis for image compression with fractal approach.\",\"PeriodicalId\":202893,\"journal\":{\"name\":\"2015 International Conference on Advances in Computer Engineering and Applications\",\"volume\":\"144 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-03-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 International Conference on Advances in Computer Engineering and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICACEA.2015.7164677\",\"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 Advances in Computer Engineering and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICACEA.2015.7164677","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Texture analysis of various images to find self-similarities
Maximum bandwidth of the network is flooded with multimedia messages nowadays. Components of these messages are audio, video and images. Image is the basic unit of these multimedia messages. This paper analyzes textures of various types of images and finds self similarities within the image. Self similarities at various scales are discussed in the paper. These self similarities then form the basis for image compression with fractal approach.