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A 144 × 144 current-mode image sensor with self-adapting mismatch reduction

  • University of Maryland, College Park
  • Impinj, Inc.

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

Abstract

We present a novel CMOS continuous-current imager that uses nonvolatile floating-gate charge storage in each pixel for automatic cancellation of fixed-pattern noise (FPN) and vignetting artifacts. We demonstrate the ability to reduce image artifacts over a wide range of incident light intensities. Adaptation occurs for each pixel in parallel, using a unique pixel circuit that employs hot-electron injection in stable feedback to accurately match a reference value. The adaptation mechanism stores a reference image, which may be uniform for FPN cancellation or nonuniform for various imaging applications. The design has been fabricated in a commercially available 3-metal, 2-poly 0.5-μm standard CMOS technology. Experimental results confirm the ability to reduce the FPN variance by a factor of 178x at the intensity at which adaptation was performed, and by a factor of 34x over five orders of magnitude of intensity. Adaptation takes as little as 4 s and the 144 × 144 image can be acquired at 0.9 frames/s. During normal operation, the chip consumes 140 μW under standard office lighting conditions at room temperature.

Original languageEnglish
Pages (from-to)1687-1697
Number of pages11
JournalIEEE Transactions on Circuits and Systems I: Regular Papers
Volume54
Issue number8
DOIs
StatePublished - Aug 2007

Keywords

  • Analog memories
  • Automatic programming
  • Calibration
  • Error compensation
  • Hot carriers
  • Image sensors
  • Insulated gate field-effect transistors (FETs)

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