What is it about?

Provides a near lossless compression technique based on multilinear singular value decomposition (SVD) for 3 dimensional radiological images.

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Why is it important?

Storage and transmission of high-compression 3 dimensional radiological images that create high-quality reconstruction upon decompression are critical necessities for effective and efficient teleradiology. We proposed a near lossless 3D image volume compression method based on optimal multilinear singular value decomposition called “3D-VOI-OMLSVD.” The results indicate that the proposed compression methodology performs consistently to create high-quality image compressions, and overall gives a better outcome when compared against two state-of-the-art and widely used methods, JPEG and JPEG2000.

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This page is a summary of: Near Lossless Compression for 3D Radiological Images Using Optimal Multilinear Singular Value Decomposition (3D-VOI-OMLSVD), Journal of Digital Imaging, August 2022, Springer Science + Business Media, DOI: 10.1007/s10278-022-00687-8.
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