Teng-Yuan Cheng, Tsung-Huang Chen, C. Jason, Shao-Yi Chien
{"title":"Coarse-grained reconfigurable image stream processor architecture for high-definition cameras and camcorders","authors":"Teng-Yuan Cheng, Tsung-Huang Chen, C. Jason, Shao-Yi Chien","doi":"10.1109/SOCDC.2010.5682963","DOIUrl":null,"url":null,"abstract":"The coarse-grained reconfigurable image stream processor (CRISP) architecture is introduced for the image processing demands of high-definition (HD) cameras and camcorders. With several architectural concepts of the reconfigurable architecture, the CRISP architecture is proposed to meet the performance and flexibility requirements of the HD cameras. A multi-frame processing system with CRISP is implemented to achieve the real-time HD video recording and 11M-pixel image processing capability. Compared with the performance of the high-dynamic-range image fusion algorithm implemented with a general-purpose processor, 106 times speed-up is achieved by the proposed processor with high image quality of 42.5dB in PSNR.","PeriodicalId":380183,"journal":{"name":"2010 International SoC Design Conference","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International SoC Design Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SOCDC.2010.5682963","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
The coarse-grained reconfigurable image stream processor (CRISP) architecture is introduced for the image processing demands of high-definition (HD) cameras and camcorders. With several architectural concepts of the reconfigurable architecture, the CRISP architecture is proposed to meet the performance and flexibility requirements of the HD cameras. A multi-frame processing system with CRISP is implemented to achieve the real-time HD video recording and 11M-pixel image processing capability. Compared with the performance of the high-dynamic-range image fusion algorithm implemented with a general-purpose processor, 106 times speed-up is achieved by the proposed processor with high image quality of 42.5dB in PSNR.