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- W2030371910 abstract "The embedded zero-tree wavelet algorithm (EZW) is widely adopted to compress wavelet coefficients of images with the property that the bits stream can be truncated and produced anywhere. The lower bit plane of the wavelet coefficents is verified to be less important than the higher bit plane. Therefore it can be truncated and not encoded. Based on experiments, a generalized function, which can provide a glancing guide for EZW encoder to intelligently decide the number of low bit plane to be truncated, is deduced in this paper. In the EZW decoder, a simple method is presented to compensate for the truncated wavelet coefficients, and finally it can surprisingly enhance the quality of reconstructed image and spend scarcely any additional cost at the same time." @default.
- W2030371910 created "2016-06-24" @default.
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- W2030371910 date "2003-09-29" @default.
- W2030371910 modified "2023-09-26" @default.
- W2030371910 title "Adaptive bit truncation and compensation method for EZW image coding" @default.
- W2030371910 doi "https://doi.org/10.1117/12.538856" @default.
- W2030371910 hasPublicationYear "2003" @default.
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