{"title":"基于二次预搜索的快速分形编码算法","authors":"Ming Zhao, Ling Bai, Hui Tang, Shaofa Zhou","doi":"10.1109/ICIC.2011.64","DOIUrl":null,"url":null,"abstract":"A fast fractal coding algorithm is proposed in this paper. This algorithm is based on Jacquin's full search algorithm. When matching range-domain blocks, by utilizing the variance of the image block and the relativity between the image blocks, this algorithm performs twice pre-searching, thus avoiding vast matching computation and reducing the coding time greatly. Experimental results show that the coding time can be reduced approximately by 80% while the PSNR of the most reconstructed images is increased by this algorithm.","PeriodicalId":6397,"journal":{"name":"2011 Fourth International Conference on Information and Computing","volume":"39 1","pages":"98-101"},"PeriodicalIF":0.0000,"publicationDate":"2011-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Fast Fractal Coding Algorithm Based on Twice Pre-searching\",\"authors\":\"Ming Zhao, Ling Bai, Hui Tang, Shaofa Zhou\",\"doi\":\"10.1109/ICIC.2011.64\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A fast fractal coding algorithm is proposed in this paper. This algorithm is based on Jacquin's full search algorithm. When matching range-domain blocks, by utilizing the variance of the image block and the relativity between the image blocks, this algorithm performs twice pre-searching, thus avoiding vast matching computation and reducing the coding time greatly. Experimental results show that the coding time can be reduced approximately by 80% while the PSNR of the most reconstructed images is increased by this algorithm.\",\"PeriodicalId\":6397,\"journal\":{\"name\":\"2011 Fourth International Conference on Information and Computing\",\"volume\":\"39 1\",\"pages\":\"98-101\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-04-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 Fourth International Conference on Information and Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIC.2011.64\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 Fourth International Conference on Information and Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIC.2011.64","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fast Fractal Coding Algorithm Based on Twice Pre-searching
A fast fractal coding algorithm is proposed in this paper. This algorithm is based on Jacquin's full search algorithm. When matching range-domain blocks, by utilizing the variance of the image block and the relativity between the image blocks, this algorithm performs twice pre-searching, thus avoiding vast matching computation and reducing the coding time greatly. Experimental results show that the coding time can be reduced approximately by 80% while the PSNR of the most reconstructed images is increased by this algorithm.
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