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Compound image compression for real-time computer screen image transmission.

Tony Lin1, Pengwei Hao

  • 1National Laboratory on Machine Perception, Peking University, Beijing 100871, China. lintong@cis.pku.edu.cn

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|August 27, 2005
PubMed
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We developed Shape Primitive Extraction and Coding (SPEC), a novel algorithm for real-time compound image compression. SPEC achieves high compression and visual quality with low complexity for computer screen transmission.

Area of Science:

  • Computer Vision
  • Image Processing
  • Data Compression

Background:

  • Real-time transmission of computer screen images demands efficient compression algorithms.
  • Existing methods often struggle to balance compression ratio, complexity, and visual quality.
  • Compound images, containing both text/graphics and pictorial regions, pose unique compression challenges.

Purpose of the Study:

  • To introduce a new algorithm, Shape Primitive Extraction and Coding (SPEC), for real-time compound image compression.
  • To achieve high compression ratios, low computational complexity, and excellent visual quality for screen image transmission.
  • To effectively handle the distinct characteristics of text/graphics and pictorial regions within compound images.

Main Methods:

  • SPEC segments compound images into text/graphics and pictorial regions.

Related Experiment Videos

  • Text/graphics regions are compressed using a novel lossless algorithm incorporating shape and palette-based coding.
  • Pictorial regions are compressed using standard lossy JPEG.
  • A dynamic color palette aids in separating shape primitives from pictorial pixels.
  • Main Results:

    • SPEC demonstrates very low computational complexity.
    • The algorithm achieves visually lossless quality for the compressed images.
    • Competitive compression ratios are maintained while ensuring high visual fidelity.
    • Experimental results validate the effectiveness of the segmentation and coding strategies.

    Conclusions:

    • SPEC is a highly effective algorithm for real-time compound image compression.
    • The algorithm successfully addresses the trade-offs between compression, complexity, and visual quality.
    • SPEC offers a promising solution for efficient computer screen image transmission applications.