Compression of CT Images using Contextual Vector Quantization with Simulated Annealing for Telemedicine Application

The role of compression is vital in telemedicine for the storage and transmission of medical images. This work is based on Contextual Vector Quantization (CVQ) compression algorithm with codebook optimization by Simulated Annealing (SA) for the compression of CT images. The region of interest (foreg...

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Veröffentlicht in:	Journal of medical systems 2018-11, Vol.42 (11), p.218-13, Article 218
Hauptverfasser:	Kumar, S. N., Lenin Fred, A., Sebastin Varghese, P.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Coding Compression Compression ratio Computed tomography Computer simulation Correlation analysis Cross correlation Data Compression Disease transmission Health Informatics Health Sciences Image & Signal Processing Image compression Image quality Image reconstruction Image transmission JPEG encoders-decoders Medical imaging Medicine Medicine & Public Health Optimization Signal to noise ratio Simulated annealing Statistical analysis Statistics for Life Sciences Telemedicine Tomography, X-Ray Computed Vector quantization
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