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Compressive sensing image sensors-hardware implementation.

Mohammadreza Dadkhah1, M Jamal Deen, Shahram Shirani

  • 1Department of Electrical and Computer Engineering, McMaster University, Hamilton, ON, Canada. dadkham@mcmaster.ca

Sensors (Basel, Switzerland)
|April 16, 2013
PubMed
Summary

Compressive sensing (CS) enables efficient image acquisition with high resolution and speed. This review covers hardware implementations and practical issues for CS in CMOS sensors, including video capture.

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Area of Science:

  • Electrical Engineering
  • Computer Vision
  • Signal Processing

Background:

  • Compressive sensing (CS) offers efficient image acquisition by combining sensing and compression.
  • CS allows high-resolution imaging with low-resolution sensors and faster data capture.
  • Unique hardware structures are required for CS imagers, differing from conventional systems.

Purpose of the Study:

  • To review hardware implementations of compressive sensing (CS) encoding.
  • To discuss practical challenges and advancements in applying CS to CMOS sensors.
  • To explore CS coding strategies for video capture.

Main Methods:

  • Review of existing literature on CS hardware implementations in optical and electrical domains.
  • Analysis of recent CMOS technology advancements relevant to on-chip signal processing.

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  • Discussion of CS coding techniques for video applications.

    • Main Results:

    • Overview of diverse CS hardware designs for optical and electrical imaging.
    • Identification of key implementation issues for CS in CMOS sensors, leveraging on-chip processing.
    • Exploration of CS applicability and methods for video data acquisition.

    Conclusions:

    • Hardware implementations of CS are crucial for its practical application in imaging.
    • CMOS technology advancements facilitate on-chip CS processing, enhancing efficiency.
    • CS presents a promising approach for advanced video capture systems.