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- W2065254227 abstract "The wavelet transform has recently become popular as a tool for multiresolution image decomposition. Simultaneous localization of spatial and spectral information makes the wavelet transform an excellent candidate for the decorrelation stage of an image compression algorithm. This paper describes a simple but effective method of grayscale image compression that uses the wavelet transform. Nonuniform quantizers are applied to the detail subimages of the transform. Detail subimages are then grouped by decomposition level and entropy coded. The lowest resolution image, which results from the all low-pass path through the decomposition, is uniformly quantized and coded directly. Reductions in output bit rate to those of interest to the NITF low bitrate evaluation are achieved through simple scaling of the quantizers and inclusion of run-length coding.© (1994) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only." @default.
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- W2065254227 date "1994-06-24" @default.
- W2065254227 modified "2023-09-23" @default.
- W2065254227 title "<title>Gray-scale image compression with wavelet transforms</title>" @default.
- W2065254227 doi "https://doi.org/10.1117/12.179285" @default.
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