On the concept of best achievable compression ratio for lossy image coding.

DOI10.1016/S0031-3203(03)00047-5zbMath1035.68127OpenAlexW1994553517MaRDI QIDQ1403800

D. Massart

Publication date: 4 September 2003

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0031-3203(03)00047-5

zbMATH Keywords

Best achievable compression ratioDigitized mammogramsImage fidelityKullback--Leibler information gainLossy image coding

Mathematics Subject Classification ID

Searching and sorting (68P10) Computing methodologies for image processing (68U10)

Related Items (1)

Coder selection for lossy compression of still images

Uses Software

• bootstrap

Cites Work

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• On measures of information and their characterizations
• Perceptual quality metrics applied to still image compression
• Using models of feature perception in distortion measure guidance
• Defining a target distinctness measure through a single-channel computational model of vision

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