{"title":"基于低面积低功率脉宽调制的数字像素传感器","authors":"E. Talebi, S. Sayedi","doi":"10.1109/MVIP53647.2022.9738738","DOIUrl":null,"url":null,"abstract":"A novel low power and low area Digital Pixel Sensor using Pulse Width Modulation technique is designed in one-poly six-metal 0.18μm CMOS standard technology. The pixel has a pitch of 18.33 μm and a fill factor of about 24%. The Light to Time Converter (LTC) at the core of the pixel consumes only 5.5% of the pixel area. Post-layout simulation results exhibit 90.85 dB dynamic range, total power consumption of about 853.65 pW at 33 frames per second and a short conversion time with a maximum of 23.25 ms. The pixel’s digital output is linearized by using a look-up table based digital linearization circuitry resulting in a root mean square pixel-wise error of 0.797 between the original and the captured images. Monte Carlo analysis shows 2.93% Fixed Pattern Noise for the pixel.","PeriodicalId":184716,"journal":{"name":"2022 International Conference on Machine Vision and Image Processing (MVIP)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Low Area and Low Power Pulse Width Modulation Based Digital Pixel Sensor\",\"authors\":\"E. Talebi, S. Sayedi\",\"doi\":\"10.1109/MVIP53647.2022.9738738\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A novel low power and low area Digital Pixel Sensor using Pulse Width Modulation technique is designed in one-poly six-metal 0.18μm CMOS standard technology. The pixel has a pitch of 18.33 μm and a fill factor of about 24%. The Light to Time Converter (LTC) at the core of the pixel consumes only 5.5% of the pixel area. Post-layout simulation results exhibit 90.85 dB dynamic range, total power consumption of about 853.65 pW at 33 frames per second and a short conversion time with a maximum of 23.25 ms. The pixel’s digital output is linearized by using a look-up table based digital linearization circuitry resulting in a root mean square pixel-wise error of 0.797 between the original and the captured images. Monte Carlo analysis shows 2.93% Fixed Pattern Noise for the pixel.\",\"PeriodicalId\":184716,\"journal\":{\"name\":\"2022 International Conference on Machine Vision and Image Processing (MVIP)\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-02-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 International Conference on Machine Vision and Image Processing (MVIP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MVIP53647.2022.9738738\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Machine Vision and Image Processing (MVIP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MVIP53647.2022.9738738","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Low Area and Low Power Pulse Width Modulation Based Digital Pixel Sensor
A novel low power and low area Digital Pixel Sensor using Pulse Width Modulation technique is designed in one-poly six-metal 0.18μm CMOS standard technology. The pixel has a pitch of 18.33 μm and a fill factor of about 24%. The Light to Time Converter (LTC) at the core of the pixel consumes only 5.5% of the pixel area. Post-layout simulation results exhibit 90.85 dB dynamic range, total power consumption of about 853.65 pW at 33 frames per second and a short conversion time with a maximum of 23.25 ms. The pixel’s digital output is linearized by using a look-up table based digital linearization circuitry resulting in a root mean square pixel-wise error of 0.797 between the original and the captured images. Monte Carlo analysis shows 2.93% Fixed Pattern Noise for the pixel.