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Related Experiment Video

Updated: May 8, 2026

Scanning Light Scattering Profiler (SLPS) Based Methodology to Quantitatively Evaluate Forward and Backward Light Scattering from Intraocular Lenses
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Digital pixel sensor array with logarithmic delta-sigma architecture.

Alireza Mahmoodi1, Jing Li, Dileepan Joseph

  • 1Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada. mahmoodi@ualberta.ca

Sensors (Basel, Switzerland)
|August 21, 2013
PubMed
Summary
This summary is machine-generated.

Logarithmic image sensors achieve wide dynamic range but have low signal-to-noise ratios. Integrating a delta-sigma analog-to-digital converter (ADC) in each pixel significantly improves this ratio, matching human eye performance.

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Area of Science:

  • Electrical Engineering
  • Computer Vision
  • Sensor Technology

Background:

  • Logarithmic image sensors offer wide dynamic range at video rates, mimicking the human eye.
  • A key limitation of logarithmic sensors is their low peak signal-to-noise-and-distortion ratio (PSNDR).

Purpose of the Study:

  • To enhance the PSNDR of logarithmic image sensors.
  • To develop a novel pixel architecture integrating delta-sigma analog-to-digital converters (ADCs).

Main Methods:

  • Designed and fabricated an image sensor with per-pixel delta-sigma ADCs using 0.18 micron CMOS technology.
  • Implemented a small-area, low-power delta-sigma design for scalability.
  • Included a decimator in each pixel for efficient data processing.

Main Results:

  • The developed image sensor achieved a PSNDR superior to existing state-of-the-art logarithmic sensors.
  • The sensor's PSNDR was found to be comparable to the performance of the human eye.
  • Performance was benchmarked against various linear and nonlinear image sensors from industry and academia.

Conclusions:

  • Integrating delta-sigma ADCs into each pixel is an effective method to improve the PSNDR of logarithmic image sensors.
  • This approach offers a scalable solution for high dynamic range imaging with performance rivaling biological systems.
  • The novel architecture represents a significant advancement in image sensor technology.