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Related Experiment Videos

Image data compression using a new floating-point digital signal processor.

E L Siegel1, A W Templeton, K L Hensley

  • 1Department of Diagnostic Radiology, University of Kansas Medical Center, Kansas City 66103.

Journal of Digital Imaging
|August 1, 1991
PubMed
Summary
This summary is machine-generated.

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A novel digital signal processor efficiently compresses digital radiographic images using the two-dimensional discrete cosine transform (2D-DCT). This processor achieves high throughput for medical image compression and decompression tasks.

Area of Science:

  • Medical Imaging
  • Digital Signal Processing
  • Image Compression Algorithms

Background:

  • Digital radiographic imaging generates large datasets requiring efficient storage and transmission.
  • Lossy compression techniques are crucial for managing medical image file sizes.
  • The two-dimensional discrete cosine transform (2D-DCT) is a widely used algorithm for image compression.

Purpose of the Study:

  • To evaluate a new dual-ported, floating-point digital signal processor for medical image compression.
  • To assess the performance of the processor using the 2D-DCT algorithm.
  • To measure throughput times for compression and decompression of various medical image types.

Main Methods:

  • The study utilized a new floating-point digital signal processor operating at 49.5 MFLOPS.

Related Experiment Videos

  • Compression was performed using a full-frame, two-dimensional discrete cosine transform (2D-DCT).
  • Compression ratios were adjusted by modifying four parameters within the lossy compression algorithm. Throughput times were measured for compression and decompression.

    • Main Results:

    • A 1,024 x 1,024 x 10-bit image achieved a compression ratio of 316:1 with a total throughput time of 75.73 seconds.
    • A digital fluorography 1,024 x 1,024 x 8-bit image (26:1 ratio) had a throughput time of 63.23 seconds.
    • A 512 x 512 x 12-bit computed tomography image (10:1 ratio) was processed in 19.65 seconds.

    Conclusions:

    • The evaluated digital signal processor demonstrates effective performance for compressing and decompressing digital radiographic images.
    • The processor's throughput is suitable for handling various medical imaging modalities.
    • The flexibility in adjusting compression parameters allows for tailored image compression solutions.