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Scalar-vector quantization of medical images

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2 Author(s)
Mohsenian, N. ; IBM Corp., Endicott, NY, USA ; Shahri, H.

A new coding scheme based on the scalar-vector quantizer (SVQ) is developed for compression of medical images. SVQ is a fixed-rate encoder and its rate-distortion performance is close to that of optimal entropy-constrained scalar quantizers (ECSQ's) for memoryless sources. For a set of magnetic resonance (MR) images, coding results obtained from SVQ and ECSQ at low bit-rates are indistinguishable. Furthermore, the authors' encoded images are perceptually indistinguishable from the original, when displayed on a monitor. This makes the authors' SVQ based coder an attractive compression scheme for picture archiving and communication systems (PACS), currently under consideration for an all digital radiology environment in hospitals, where reliable transmission, storage, and high fidelity reconstruction of images are desired

Published in:

Nuclear Science Symposium and Medical Imaging Conference Record, 1995., 1995 IEEE  (Volume:3 )

Date of Conference:

21-28 Oct 1995

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