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• W2149743463 abstract "The final diagnosis in coronary angiography has to be performed on a large set of original images. Therefore, lossless compression schemes play a key role in medical database management and telediagnosis applications. This paper proposes a wavelet-based compression scheme that is able to operate in the lossless mode. The quantization module implements a new way of coding of the wavelet coefficients that is more effective than the classical zerotree coding. The experimental results obtained on a set of 20 angiograms show that the algorithm outperforms the embedded zerotree coder, combined with the integer wavelet transform, by 0.38 bpp, the set partitioning coder by 0.21 bpp, and the lossless JPEG coder by 0.71 bpp. The scheme is a good candidate for radiological applications such as teleradiology and picture archiving and communications systems (PACS's)." @default.
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• W2149743463 date "1999-03-01" @default.
• W2149743463 modified "2023-10-17" @default.
• W2149743463 title "Wavelet-based lossless compression of coronary angiographic images" @default.
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• W2149743463 doi "https://doi.org/10.1109/42.764904" @default.
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