{"title":"先进的纹理适应块去除压缩的视觉内容","authors":"Thai Van Nguyen, T. Do, D. Vo","doi":"10.1109/ATC.2015.7388336","DOIUrl":null,"url":null,"abstract":"This paper proposes a novel image quality enhancement method using fuzzy filter and texture map. The texture map of the original images or the compressed images is estimated and then is used to control the strength's filter. The task is to reduce blocking artifacts while preserving the sharpness of decompressed images. The simulation results show that the proposed fuzzy filtering scheme achieves the best visual quality and PSNR among the simulated methods.","PeriodicalId":142783,"journal":{"name":"2015 International Conference on Advanced Technologies for Communications (ATC)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Advanced texture-adapted blocking removal for compressed visual content\",\"authors\":\"Thai Van Nguyen, T. Do, D. Vo\",\"doi\":\"10.1109/ATC.2015.7388336\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a novel image quality enhancement method using fuzzy filter and texture map. The texture map of the original images or the compressed images is estimated and then is used to control the strength's filter. The task is to reduce blocking artifacts while preserving the sharpness of decompressed images. The simulation results show that the proposed fuzzy filtering scheme achieves the best visual quality and PSNR among the simulated methods.\",\"PeriodicalId\":142783,\"journal\":{\"name\":\"2015 International Conference on Advanced Technologies for Communications (ATC)\",\"volume\":\"46 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 International Conference on Advanced Technologies for Communications (ATC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ATC.2015.7388336\",\"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 Advanced Technologies for Communications (ATC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ATC.2015.7388336","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Advanced texture-adapted blocking removal for compressed visual content
This paper proposes a novel image quality enhancement method using fuzzy filter and texture map. The texture map of the original images or the compressed images is estimated and then is used to control the strength's filter. The task is to reduce blocking artifacts while preserving the sharpness of decompressed images. The simulation results show that the proposed fuzzy filtering scheme achieves the best visual quality and PSNR among the simulated methods.