Proceedings 2001 IEEE International Symposium on Defect and Fault Tolerance in VLSI Systems
DOI: 10.1109/dftvs.2001.966748
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Design of a self-correcting active pixel sensor

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Cited by 18 publications
(13 citation statements)
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“…Therefore, there have been several reports on improving the fill-factor (FF) with low power consumption, low voltage operation, low noise, high speed imaging and high dynamic range. Moreover, little research has been done on other topics such as pixel shape optimization [9], pixels on SOI substrate [10], high resolution [11], APS with variable resolution [12,13], self-correcting [14,15] and for low light [16][17][18], etc.…”
Section: After 1997mentioning
confidence: 99%
“…Therefore, there have been several reports on improving the fill-factor (FF) with low power consumption, low voltage operation, low noise, high speed imaging and high dynamic range. Moreover, little research has been done on other topics such as pixel shape optimization [9], pixels on SOI substrate [10], high resolution [11], APS with variable resolution [12,13], self-correcting [14,15] and for low light [16][17][18], etc.…”
Section: After 1997mentioning
confidence: 99%
“…In this paper, we build on previous work with the Fault-Tolerant Active Pixel Sensors (FTAPS) [4] and demonstrate in detail how it can be used to intelligently correct hot-pixel defects that develop in-field. The redundancy built into the FTAPS design allows defects leading to hot-pixels to be tolerated without the complexity of altering the fabrication process and without sacrificing image quality.…”
Section: Introductionmentioning
confidence: 99%
“…As well, random addressing enables redundancy to be introduced at the pixel level. A Fault Tolerant Active Pixel Sensor (FTAPS) that can correct for common pixel faults that occur in APS' was designed and fabricated in 0.18µm CMOS technology [2,3].…”
Section: Introductionmentioning
confidence: 99%
“…Previous analysis by other authors had suggested that the FTAPS has significantly more noise than a standard APS, resulting in a decrease in its Signal-to-Noise Ratio (SNR) [4]. However, that analysis was based on earlier papers [2,5,6] and does not take into account the relative size of different noise sources.…”
Section: Introductionmentioning
confidence: 99%