Image coding with an Linfinity norm and confidence interval criteria.
basic_science · Level V
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- Record sourced from PubMed, PMID 18276280.
- Also identified by DOI 10.1109/83.668016.
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Abstract
A new image coding technique based on an Linfinity-norm criterion and exploiting statistical properties of the reconstruction error is investigated. The original image is preprocessed, quantized, encoded, and reconstructed within a given confidence interval. Two important classes of preprocessing, namely linear prediction and iterated filterbanks, are used. The approach is also shown to be compatible with previous techniques. The approach allows a great flexibility in that it can perform lossless coding as well as a controlled lossy one: specifications are typically that only p% the reconstructed pixels are different from the original ones.