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

Cockshott, W.P., Tao, Y., Gao, G., Balch, P., Briones, A.M. and Daly, C. (2003) Confocal microscopic image sequence compression using vector quantization and 3D pyramids. SCANNING: The Journal of Scanning Microscopies, 25(5), pp. 247-256.

Abstract

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.

• Item Type: Articles
• Keywords: Confocal Laser Scanning Microscopy (CLSM); Image Compression; Image Pyramid; 3D Differential Pyramid; Vector Quantization
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Cockshott, Dr William
• Authors: Cockshott, W.P., Tao, Y., Gao, G., Balch, P., Briones, A.M., and Daly, C.
• Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
• College/School: College of Science and Engineering > School of Computing Science
• Journal Name: SCANNING: The Journal of Scanning Microscopies
• Publisher: John Wiley and Sons Ltd.
• ISSN: 0161-0457
• Copyright Holders: Copyright © 2003 Wiley and Sons.
• First Published: First published in SCANNING - The Journal of Scanning Microscopies 25(1):247-256
• Publisher Policy: Reproduced in accordance with the copyright policy of the publisher