Improving the sensitivity of a vision chip using the software A-D conversion method

Daisuke Takeuchi, Shingo Kagami, Takashi Komuro, Masatoshi Ishikawa

Research output: Contribution to journalConference articlepeer-review

Abstract

We developed a new method of pixel-level Analog-to-Digital (A-D) conversion for vision chips, removing Fixed Pattern Noise (FPN) at the same time. Vision chips are CMOS image sensors integrating a processing element (PE) and a photodetector (PD) in each pixel. The chip can handle high frame rate images in real time because its processing speed is high due to the parallel processing and also because it does not need high-bandwidth communication. Pixel-level A-D conversion is an essential technology for vision chips because digital operations must be performed in each pixel. The vision chip, which we have developed, contains a programmable PE in each pixel, and it directly controls the behavior of the PD with the use of the software. In our developed method, the chip controls the reference voltage to cancel the FPN by using this feature. We applied this method to our vision chip, and confirmed that the FPN was reduced and the sensitivity improved. We made a test chip including only PDs to solve the problem on the existing vision chip. As a result of applying this method to the test chip, the detectable minimum illuminance improved about 40 times in comparison with applying our existing method.

Original languageEnglish
Pages (from-to)138-148
Number of pages11
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume5301
DOIs
Publication statusPublished - 2004 Dec 1
Externally publishedYes
EventSensors and Camera Systems for Scientific, Industrial, and Digital Photography Applications V - San Jose, CA, United States
Duration: 2004 Jan 192004 Jan 21

Keywords

  • Cmos image sensor
  • Fixed pattern noise
  • Pixel-level a-d conversion
  • Vision chip

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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