{"title":"Image Sensing Technology. A Smart Image Sensor with Quad-Tree Scan.","authors":"T. Nezuka, J. Akita, M. Ikeda, K. Asada","doi":"10.3169/ITEJ.55.287","DOIUrl":null,"url":null,"abstract":"A smart image sensor with quad-tree scan implemented by a novel method is described. Quad-tree scan reduces the number of cycles needed to scan an entire image in comparison with a raster scan. The quad-tree scan is implemented by placing the scan controller outside the pixel array and accessing a variable-size block of the pixel array. We designed the image sensor using a 0.6-μm CMOS 3-metal 2-poly-Si process. A 32×32 pixel array and the scan controller are integrated on a 4.5×4.5 mm2 die. Each pixel has an A/D conversiton circuit and a motion detection circuit in a 95×95 μm2 area. Measurements showed that the scan controller works at 10 MHz with 10 mW power dissipation. Image acquisition and motion detection using quad-tree scan were successfully tested.","PeriodicalId":39325,"journal":{"name":"Kyokai Joho Imeji Zasshi/Journal of the Institute of Image Information and Television Engineers","volume":"55 1","pages":"287-292"},"PeriodicalIF":0.0000,"publicationDate":"2001-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Kyokai Joho Imeji Zasshi/Journal of the Institute of Image Information and Television Engineers","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3169/ITEJ.55.287","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 0
Abstract
A smart image sensor with quad-tree scan implemented by a novel method is described. Quad-tree scan reduces the number of cycles needed to scan an entire image in comparison with a raster scan. The quad-tree scan is implemented by placing the scan controller outside the pixel array and accessing a variable-size block of the pixel array. We designed the image sensor using a 0.6-μm CMOS 3-metal 2-poly-Si process. A 32×32 pixel array and the scan controller are integrated on a 4.5×4.5 mm2 die. Each pixel has an A/D conversiton circuit and a motion detection circuit in a 95×95 μm2 area. Measurements showed that the scan controller works at 10 MHz with 10 mW power dissipation. Image acquisition and motion detection using quad-tree scan were successfully tested.