{"title":"滤波的高效实现——方向控制数字电视滤波器的图像去噪","authors":"Kenta Senzaki, M. Toda, M. Tsukada","doi":"10.1109/ICCE.2015.7066558","DOIUrl":null,"url":null,"abstract":"We propose the efficient implementation of Filtering-Direction-Controlled Digital Total-Variation Filter (FDC-DTVF) for real-time image denoising. FDC-DTVF produces a clear image compared to the conventional pixel-based denoising methods, but has not yet to be considered regarding its efficient implementation. We conduct algorithm optimization by reusing a calculated criterion that is newly introduced in FDC-DTVF, since the criterion is almost invariant in each step of the iterative process. We also conducted a software implementation so we can more efficiently use the CPU resource. The simulation results showed that our implementation achieves the real-time processing for a VGA video, while maintaining the image denoising performance.","PeriodicalId":169402,"journal":{"name":"2015 IEEE International Conference on Consumer Electronics (ICCE)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Efficient implementation of Filtering-Direction-Controlled Digital TV Filter for image denoising\",\"authors\":\"Kenta Senzaki, M. Toda, M. Tsukada\",\"doi\":\"10.1109/ICCE.2015.7066558\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose the efficient implementation of Filtering-Direction-Controlled Digital Total-Variation Filter (FDC-DTVF) for real-time image denoising. FDC-DTVF produces a clear image compared to the conventional pixel-based denoising methods, but has not yet to be considered regarding its efficient implementation. We conduct algorithm optimization by reusing a calculated criterion that is newly introduced in FDC-DTVF, since the criterion is almost invariant in each step of the iterative process. We also conducted a software implementation so we can more efficiently use the CPU resource. The simulation results showed that our implementation achieves the real-time processing for a VGA video, while maintaining the image denoising performance.\",\"PeriodicalId\":169402,\"journal\":{\"name\":\"2015 IEEE International Conference on Consumer Electronics (ICCE)\",\"volume\":\"82 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-03-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE International Conference on Consumer Electronics (ICCE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCE.2015.7066558\",\"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 IEEE International Conference on Consumer Electronics (ICCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCE.2015.7066558","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Efficient implementation of Filtering-Direction-Controlled Digital TV Filter for image denoising
We propose the efficient implementation of Filtering-Direction-Controlled Digital Total-Variation Filter (FDC-DTVF) for real-time image denoising. FDC-DTVF produces a clear image compared to the conventional pixel-based denoising methods, but has not yet to be considered regarding its efficient implementation. We conduct algorithm optimization by reusing a calculated criterion that is newly introduced in FDC-DTVF, since the criterion is almost invariant in each step of the iterative process. We also conducted a software implementation so we can more efficiently use the CPU resource. The simulation results showed that our implementation achieves the real-time processing for a VGA video, while maintaining the image denoising performance.