Near Lossless Compression for 3D Radiological Images Using Optimal Multilinear Singular Value Decomposition (3D-VOI-OMLSVD)

Storage and transmission of high-compression 3D radiological images that create high-quality reconstruction upon decompression are critical necessities for effective and efficient teleradiology. To cater to this need, we propose a near lossless 3D image volume compression method based on optimal mul...

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Vydáno v:	Journal of digital imaging Ročník 36; číslo 1; s. 259 - 275
Hlavní autoři:	Boopathiraja, S., Kalavathi, P., Deoghare, S., Prasath, V. B. Surya
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Cham Springer International Publishing 01.02.2023 Springer Nature B.V
Témata:	Algorithms Coders Compression Data Compression - methods Decomposition Decompression Entropy Humans Image acquisition Image compression Image processing Image quality Image reconstruction Imaging Imaging, Three-Dimensional - methods Medicine Medicine & Public Health Original Paper Radiography Radiology Signal to noise ratio Singular value decomposition Teleradiology Tensors Tomography, X-Ray Computed - methods Multilinear singular value decomposition (MLSVD) Selective bounding volume (SBV) method Near lossless compression Volume of interest (VOI) Three-dimensional (3D) medical image Adaptive binary range coder (ABRC)
ISSN:	1618-727X, 0897-1889, 1618-727X
On-line přístup:	Získat plný text
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