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Related Experiment Videos

DSP based image processing for retinal prosthesis.

Neha J Parikh1, James D Weiland, Mark S Humayun

  • 1Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA, USA.

Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
|February 3, 2007
PubMed
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Digital signal processors (DSPs) are proposed for real-time image processing in retinal prostheses. These processors offer high computational efficiency and low power consumption for complex algorithms like edge detection.

Area of Science:

  • Biomedical Engineering
  • Computer Science
  • Signal Processing

Background:

  • Real-time image processing is crucial for retinal prosthesis functionality.
  • Common algorithms include edge detection, enhancement, and decimation.
  • These algorithms present significant computational complexity.

Purpose of the Study:

  • To propose the use of digital signal processors (DSPs) for retinal prosthesis image processing.
  • To evaluate DSPs for computational efficiency and low power consumption.
  • To discuss DSP requirements and platform capabilities for this application.

Main Methods:

  • Implementation of image processing algorithms on DSP platforms.
  • Analysis of computational complexity and power requirements.

Related Experiment Videos

  • Evaluation of different DSP processor configurations.

    • Main Results:

    • DSPs demonstrate high computational capabilities (MIPS/MFLOPS).
    • Certain DSP configurations offer low power consumption.
    • Feasibility of using DSPs for real-time, low-power image processing is shown.

    Conclusions:

    • DSPs are suitable for efficient real-time image processing in retinal prostheses.
    • The selection of appropriate DSPs is key for balancing performance and power.
    • This approach can enhance the performance and usability of visual prosthetics.