1995
DOI: 10.1117/12.207612
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<title>Volumetric image compression by 3D discrete wavelet transform (DWT)</title>

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Cited by 15 publications
(7 citation statements)
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“…This initial study did not present detailed rate or distortion figures, nor did it discuss the implementation consequences of processing the data in 3D. More recent research [68] has shown that while gains can be realized for very high-resolution data, almost no improvement resulted when using data with large slice thickness or gap, such as the data used for this research. The correlation between adjacent MR images acquired with a large inter-slice gap (such as the 5 mm slice thickness of our data) is not great enough to warrant C H A P T E R 4.…”
Section: Sequencesmentioning
confidence: 99%
“…This initial study did not present detailed rate or distortion figures, nor did it discuss the implementation consequences of processing the data in 3D. More recent research [68] has shown that while gains can be realized for very high-resolution data, almost no improvement resulted when using data with large slice thickness or gap, such as the data used for this research. The correlation between adjacent MR images acquired with a large inter-slice gap (such as the 5 mm slice thickness of our data) is not great enough to warrant C H A P T E R 4.…”
Section: Sequencesmentioning
confidence: 99%
“…Although, many compression methods are being used by various groups, these ratios are considered conservative and comparable in quality among the most prevalent types, including JPEG (Joint Photographic Experts' Group) [13], full frame DCT [14], and wavelet transform [15]. The compression ratios of CT and MR images can be further improved using a three dimensional wavelet transform method [16].…”
Section: Compressionmentioning
confidence: 99%
“…Several research efforts applied the 3-D wavelet transform to 3-D medical image compression [5], [8], [9]. The basic idea of those methods is to apply a separable 3-D wavelet transform to an image set or a group of slices to remove inter-slice redundancy [4].…”
Section: Introductionmentioning
confidence: 99%