Confocal microscopic image sequence compression using vector quantization and 3D pyramids

Article English OPEN
Cockshott, W.P. ; Tao, Y. ; Gao, G. ; Balch, P. ; Briones, A.M. ; Daly, C. (2003)
  • Publisher: John Wiley and Sons Ltd.
  • Subject: QA75
    acm: Data_CODINGANDINFORMATIONTHEORY | ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION

The 3D pyramid compressor project at the University of Glasgow has developed a compressor for images obtained from CLSM device. The proposed method using a combination of image pyramid coder and vector quantization techniques has good performance at compressing confocal volume image data. An experiment was conducted on several kinds of CLSM data using the presented compressor compared to other well-known volume data compressors, such as MPEG-1. The results showed that the 3D pyramid compressor gave higher subjective and objective image quality of reconstructed images at the same compression ratio and presented more acceptable results when applying image processing filters on reconstructed images.
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