Per-image PCA characterization of the Kodak image suite (PDF and JSON)

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TLDR

  • GitHub release provides the first published per-image PCA decomposition of the Kodak Lossless True Color Image Suite (PCD0992), covering all 24 images.

Key Takeaways

  • Kodak PCD0992 is a standard 24-image benchmark widely used in image compression and color science research.
  • This is described as the first published statistical characterization of inter-channel redundancy structure across the full suite.
  • PCA decomposition reveals how correlated the R, G, B channels are per image, which directly informs color transform design in codecs.
  • Artifacts are released as both PDF and JSON, making the data usable programmatically in compression pipelines or model training setups.
  • Inter-channel redundancy data at this granularity is useful for learned image compression, codec tuning, and color space analysis.

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