{"title":"光照变化渐进运动估计算法的体系结构设计","authors":"Madhuri Bamankar, P. Muralidhar, C. B. Ramarao","doi":"10.1109/ICCCNT.2013.6726531","DOIUrl":null,"url":null,"abstract":"Some factors of environment and user behavior always dominate the captured video quality (i.e. brightness variation). The full search method cannot give better PSNR for brightness affected video. The brightness correction method improves the PSNR (i.e. quality) of brightness affected video. Architecture design of brightness correction method is proposed in this paper. This hybrid and pipelined architecture is fast and real time implementable.","PeriodicalId":6330,"journal":{"name":"2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2013-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Architecture design of illumination change progressive motion estimation algorithm\",\"authors\":\"Madhuri Bamankar, P. Muralidhar, C. B. Ramarao\",\"doi\":\"10.1109/ICCCNT.2013.6726531\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Some factors of environment and user behavior always dominate the captured video quality (i.e. brightness variation). The full search method cannot give better PSNR for brightness affected video. The brightness correction method improves the PSNR (i.e. quality) of brightness affected video. Architecture design of brightness correction method is proposed in this paper. This hybrid and pipelined architecture is fast and real time implementable.\",\"PeriodicalId\":6330,\"journal\":{\"name\":\"2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-07-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCCNT.2013.6726531\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCNT.2013.6726531","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Architecture design of illumination change progressive motion estimation algorithm
Some factors of environment and user behavior always dominate the captured video quality (i.e. brightness variation). The full search method cannot give better PSNR for brightness affected video. The brightness correction method improves the PSNR (i.e. quality) of brightness affected video. Architecture design of brightness correction method is proposed in this paper. This hybrid and pipelined architecture is fast and real time implementable.
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