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A novel approach for coding color quantized images.

A Zaccarin1, B Liu

  • 1Dept. de Genie Electr., Laval Univ., Que.

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|January 1, 1993
PubMed
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This study introduces a novel lossy compression method for color images with limited palettes. The technique avoids post-compression color quantization, simplifying display and reducing computational load.

Area of Science:

  • Computer Vision
  • Image Processing
  • Data Compression

Background:

  • Limited palette color images present unique compression challenges.
  • Existing methods often require color quantization post-decoding, increasing complexity.
  • Image-dependent palettes offer potential for efficient coding.

Purpose of the Study:

  • To develop a lossy compression algorithm for limited palette color images.
  • To eliminate the need for color quantization of the decoded image.
  • To reduce decoder computational complexity while maintaining quality.

Main Methods:

  • An algorithm for lossy compression of color images with limited palettes was developed.
  • The method ensures decoded image pixels adhere to the original image-dependent palette.

Related Experiment Videos

  • No color quantization step is required after image decompression.

    • Main Results:

    • The proposed technique successfully compresses color images with limited palettes.
    • Decoded images inherently use the original palette, avoiding post-quantization.
    • Comparable image quality and bit rates were achieved with significantly reduced decoder complexity.

    Conclusions:

    • This approach offers an efficient method for lossy compression of limited palette images.
    • Eliminating post-decoding quantization simplifies the display process.
    • The algorithm presents a computationally advantageous solution for image compression applications.