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- W2891836668 abstract "For the lossless compression of dynamic $3-mathrm {D}+mathrm {t}$ volumes as produced by medical devices like Computed Tomography, various coding schemes can be applied. This paper shows that 3-D subband coding outperforms lossless HEVC coding and additionally provides a scalable representation, which is often required in telemedicine applications. However, the resulting lowpass subband, which shall be used as a downscaled representative of the whole original sequence, contains a lot of ghosting artifacts. This can be alleviated by incorporating motion compensation methods into the subband coder. This results in a high quality lowpass subband but also leads to a lower compression ratio. In order to cope with this, we introduce a new approach for improving the compression efficiency of compensated 3-D wavelet lifting by performing denoising in the update step. We are able to reduce the file size of the lowpass subband by up to 1.64%, while the lowpass subband is still applicable for being used as a downscaled representative of the whole original sequence." @default.
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- W2891836668 date "2018-06-01" @default.
- W2891836668 modified "2023-09-27" @default.
- W2891836668 title "Compression of Dynamic Medical CT Data Using Motion Compensated Wavelet Lifting with Denoised Update" @default.
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- W2891836668 doi "https://doi.org/10.1109/pcs.2018.8456262" @default.
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