Research Objectives

The objective of the Image Sequence Processing Group is to utilize knowledge of the human visual system to develop and explore both models which can serve as the basis for image and image sequence processing and coding techniques, and the techniques themselves.

This work is currently proceeding in two directions:

An image sequence represented as
a spatiotemporal volume, raytraced
to exhibit its internal structure.

When applying these approaches to image sequences, it is useful to view the sequence as a spatiotemporal volume of data (as shown above), with motion reflected in the structure of the volume. This treatment of motion is very promising for the efficient representation of motion video, and has many conceptual advantages, as well.

Applications

Applications of this work include the development of coding methods which perform well over a broad range of compression ratio and image quality requirements, from the very high compression ratios (and moderate image quality) necessary for videotelephone and multimedia information systems, to the moderate compression ratios required for high quality imaging (HDTV and beyond). Novel image and video processing techniques (including a large class of space- and spatiotemporally-variant filtering methods) are also made possible when using these representations.

Demonstrations

Software

Selected Publications

T.R. Reed. "Digital video processing." In V. Oklobdzija, editor, The Computer Engineering Handbook, CRC Press, Boca Raton, 2001 and The Computer Engineering Handbook, Second Edition: Digital Systems and Applications, Taylor and Francis Group, LLC, Boca Raton, 2007. Also in R.C. Dorf, editor, The Electrical Engineering Handbook, Third Edition: Broadcasting and Optical Communication Technology, CRC Press, Boca Raton, 2006.

T.R. Reed, N.E. Reed, and P. Fritzson. "Heart sound analysis for symptom detection and computer-aided diagnosis." Simulation Modeling Practice and Theory, 12(2004):129-146.

T.R. Reed (editor). Digital Image Sequence Processing, Compression, and Analysis, CRC Press, July 2004.

M. Feng and T.R. Reed. "Dense motion field estimation by 3-D Gabor representation." In Proceedings of the 2004 IEEE International Conference on Image Processing, pages 2555-2558, Singapore, October 24-27, 2004.

T.C. Lin and T.R. Reed. "Heart sound segmentation for computer-aided auscultation." In Proceedings of the 2005 IASTED International Conference on Signal and Image Processing, pages 122-127, Honolulu, HI, August 15-17, 2005.

M. Feng and T.R. Reed. "Detection and estimation of rotational motions using the 3-D Gabor representation." In Proceedings of the 2005 IEEE International Conference on Image Processing, pages I-133 - I-136, Genova, Italy, September 11-14, 2005.

M. Feng and T.R. Reed. "Motion estimation in the 3-D Gabor domain." IEEE Transactions on Image Processing, 16(8):2038-2047, August 2007.

J. Bang, A. Stenger and T. Reed. "A novel method of combining multi-coil MRI images: the level-weighted wavelet fusion." In Proceedings of the International Society for Magnetic Resonance in Medicine Sixteenth Scientific Meeting and Exhibition, Toronto, Canada, May 3-9, 2008.

ISPG Publications 1990-2008

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Todd R. Reed, Professor / Department of Electrical Engineering / College of Engineering / University of Hawaii at Manoa / Honolulu, HI 96822 / Phone: +1 808 956 5309 / Fax: +1 808 956 3427 / Email: trreed@hawaii.edu