{"title":"Frame Based Adaptation for CMOS Imager","authors":"D. Climie, S. Chen, A. Bermak, D. Martinez","doi":"10.1109/ICICS.2005.1689055","DOIUrl":null,"url":null,"abstract":"This paper presents a VLSI architecture of a frame-based adaptive quantization technique based on the fast boundary adaptation rule (FBAR). The adaptive quantization algorithm is integrated together with a 128times128 pixel CMOS image sensor array. The pixel operation is based on biologically inspired time-to-first spike encoding scheme. System and circuit level simulations show the successful operation of the proposed architecture","PeriodicalId":425178,"journal":{"name":"2005 5th International Conference on Information Communications & Signal Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2005 5th International Conference on Information Communications & Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICS.2005.1689055","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
This paper presents a VLSI architecture of a frame-based adaptive quantization technique based on the fast boundary adaptation rule (FBAR). The adaptive quantization algorithm is integrated together with a 128times128 pixel CMOS image sensor array. The pixel operation is based on biologically inspired time-to-first spike encoding scheme. System and circuit level simulations show the successful operation of the proposed architecture
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