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Related Experiment Videos

Fast adaptive unsharp masking with programmable mediaprocessors.

Unmin Bae1, Vijay Shamdasani, Ravi Managuli

  • 1Departments of Electrical Engineering and Bioengineering, Image Computing Systems Laboratory, University of Washington, Seattle, WA 98195-2500, USA.

Journal of Digital Imaging
|October 18, 2003
PubMed
Summary
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Fast adaptive unsharp masking on mediaprocessors offers a flexible solution for medical image enhancement. This method achieves high-speed processing, enabling interactive parameter adjustments for improved image quality and viewing.

Area of Science:

  • Medical Imaging
  • Image Processing
  • Computer Engineering

Background:

  • Unsharp masking is crucial for medical image enhancement but faces computational and flexibility challenges.
  • Hardware solutions lack flexibility, while software solutions struggle with speed requirements.
  • Programmable mediaprocessors offer a promising approach to balance speed and flexibility in medical image computing.

Purpose of the Study:

  • To present a fast adaptive unsharp masking algorithm implemented on leading mediaprocessors.
  • To evaluate the performance of the adaptive unsharp masking on specific hardware platforms.
  • To demonstrate the potential of mediaprocessors for enhancing medical image processing capabilities.

Main Methods:

  • Implementation of adaptive unsharp masking on Hitachi/Equator Technologies MAP-CA and Texas Instruments TMS320C64x mediaprocessors.

Related Experiment Videos

  • Testing with a 2k x 2k 16-bit image using a 201 x 201 boxcar kernel.
  • Performance evaluation based on processing time for the implemented algorithm.

    • Main Results:

    • Adaptive unsharp masking processed a 2k x 2k 16-bit image in 225 ms on a 300-MHz MAP-CA.
    • The same image was processed in 74 ms on a 600-MHz TMS320C64x.
    • Achieved significant speed improvements compared to traditional methods.

    Conclusions:

    • Fast adaptive unsharp masking on mediaprocessors meets both computational and flexibility demands for medical imaging.
    • This approach enables interactive parameter tuning for optimal image quality assurance and viewing.
    • Mediaprocessors represent a viable platform for advancing medical image enhancement techniques.