{"title":"基于位平面匹配的数字稳像算法","authors":"Sung-Hee Lee, Kyung-Hoon Lee, S. Ko","doi":"10.1109/30.713172","DOIUrl":null,"url":null,"abstract":"In this paper, we present a new digital image stabilization (DIS) scheme based on bit-plane matching (BPM). The proposed DIS system performs motion estimation using 1-bit planes which are extracted from a video sequence. This motion estimation technique can be realized using only Boolean functions which have significantly reduced computational complexity, while the accuracy of motion estimation is maintained. In the second part of this paper, a median-based motion correction scheme is proposed which is robust to various irregular conditions such as moving objects and intentional panning. Simulation results show that the proposed DIS algorithm exhibits better performance compared with existing other algorithms when applied to real video signals.","PeriodicalId":105790,"journal":{"name":"International 1998 Conference on Consumer Electronics","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"188","resultStr":"{\"title\":\"Digital Image Stabilizing Algorithms Based On Bit-plane Matching\",\"authors\":\"Sung-Hee Lee, Kyung-Hoon Lee, S. Ko\",\"doi\":\"10.1109/30.713172\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we present a new digital image stabilization (DIS) scheme based on bit-plane matching (BPM). The proposed DIS system performs motion estimation using 1-bit planes which are extracted from a video sequence. This motion estimation technique can be realized using only Boolean functions which have significantly reduced computational complexity, while the accuracy of motion estimation is maintained. In the second part of this paper, a median-based motion correction scheme is proposed which is robust to various irregular conditions such as moving objects and intentional panning. Simulation results show that the proposed DIS algorithm exhibits better performance compared with existing other algorithms when applied to real video signals.\",\"PeriodicalId\":105790,\"journal\":{\"name\":\"International 1998 Conference on Consumer Electronics\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1998-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"188\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International 1998 Conference on Consumer Electronics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/30.713172\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International 1998 Conference on Consumer Electronics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/30.713172","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Digital Image Stabilizing Algorithms Based On Bit-plane Matching
In this paper, we present a new digital image stabilization (DIS) scheme based on bit-plane matching (BPM). The proposed DIS system performs motion estimation using 1-bit planes which are extracted from a video sequence. This motion estimation technique can be realized using only Boolean functions which have significantly reduced computational complexity, while the accuracy of motion estimation is maintained. In the second part of this paper, a median-based motion correction scheme is proposed which is robust to various irregular conditions such as moving objects and intentional panning. Simulation results show that the proposed DIS algorithm exhibits better performance compared with existing other algorithms when applied to real video signals.