One method of transmitting wavelet based zerotree encoded images over noisy channels is to add channel coding without altering the source coder. A second method is to reorder the embedded zerotree bitstream into packets containing a small set of wavelet coefficient trees. We consider a hybrid mixture of these two approaches and demonstrate situations in which the hybrid image coder can outperform either of the two building block methods, namely on channels that can suffer packet losses as well as statistically varying bit errors. We consider the problems of evaluating and optimizing performance for this coder.
Kenneth Zeger received both the S.B. and S.M. degrees in electrical engineering and computer science from the Massachusetts Institute of Technology, Cambridge, MA, in 1984. He received both the M.A. degree in mathematics and the Ph.D. in electrical engineering at the University of California, Santa Barbara, in 1989 and 1990, respectively.
He was an Assistant Professor of Electrical Engineering at the University of Hawaii from June 1990 to June 1992. He was in the Department of Electrical Engineering and the Coordinated Science Laboratory at the University of Illinois at Urbana-Champaign, as an Assistant Professor from July 1992 to July 1995, and as an Associate Professor from July 1995 to July 1996. Since July 1996, he has been with the Department of Electrical and Computer Engineering, University of California at San Diego, La Jolla, CA, where he is an Associate Professor, working in the area of information theory, source and channel coding, speech and image compression, and computational complexity theory.
Dr. Zeger was Co-Chairman of the 1990 IEEE Communication Theory Workshop and was Co- chairman of the 1995 Allerton Conference on Communication, Control, and Computing. He received an NSF Research Initiation Award in 1990 and an NSF Presidential Young Investigator Award in 1991. He has been serving as Associate Editor At-Large for the IEEE Transactions on Information Theory since September 1995.