{"title":"基于fft的全搜索块匹配的重叠添加方法","authors":"H. Sasaki, Z. Li, H. Kiya","doi":"10.1109/PCS.2010.5702570","DOIUrl":null,"url":null,"abstract":"One category of fast full-search block matching algorithms (BMAs) is based on the fast Fourier transformation (FFT). In conventional methods in this category, the macroblock size must be adjusted to the search window size by zero-padding. In these methods, the memory consumption and computational complexity heavily depend on the size difference between the macroblock and the search window. Thus, we propose a novel FFT-based BMA to solve this problem. The proposed method divides the search window into multiple sub search windows to versatilely control the difference between the macroblock and the search window sizes. Simulation results show the effectiveness of the proposed method.","PeriodicalId":255142,"journal":{"name":"28th Picture Coding Symposium","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"FFT-based full-search block matching using overlap-add method\",\"authors\":\"H. Sasaki, Z. Li, H. Kiya\",\"doi\":\"10.1109/PCS.2010.5702570\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"One category of fast full-search block matching algorithms (BMAs) is based on the fast Fourier transformation (FFT). In conventional methods in this category, the macroblock size must be adjusted to the search window size by zero-padding. In these methods, the memory consumption and computational complexity heavily depend on the size difference between the macroblock and the search window. Thus, we propose a novel FFT-based BMA to solve this problem. The proposed method divides the search window into multiple sub search windows to versatilely control the difference between the macroblock and the search window sizes. Simulation results show the effectiveness of the proposed method.\",\"PeriodicalId\":255142,\"journal\":{\"name\":\"28th Picture Coding Symposium\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"28th Picture Coding Symposium\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PCS.2010.5702570\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"28th Picture Coding Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PCS.2010.5702570","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
FFT-based full-search block matching using overlap-add method
One category of fast full-search block matching algorithms (BMAs) is based on the fast Fourier transformation (FFT). In conventional methods in this category, the macroblock size must be adjusted to the search window size by zero-padding. In these methods, the memory consumption and computational complexity heavily depend on the size difference between the macroblock and the search window. Thus, we propose a novel FFT-based BMA to solve this problem. The proposed method divides the search window into multiple sub search windows to versatilely control the difference between the macroblock and the search window sizes. Simulation results show the effectiveness of the proposed method.