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- W2022303013 abstract "Applications that demand very high resolution imagery are well suited to multi-resolution, progressive image compression. Currently, applying embedded zerotree coding to wavelet decomposition is popular. Though state-of-the-art, this approach is prone to visual artifacts caused by an uneven introduction of detail. Maintaining perceptually acceptable results at every bit-rate in the lossy-to-lossless progression requires a reordering of wavelet information. This paper discuses some modifications and generalizations to zerotree coding. The approach is to rearrange image information according to how humans perceive quality." @default.
- W2022303013 created "2016-06-24" @default.
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- W2022303013 modified "2023-10-16" @default.
- W2022303013 title "<title>New approach to high-quality progressive image compression</title>" @default.
- W2022303013 doi "https://doi.org/10.1117/12.233027" @default.
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