@inproceedings{c10847b7e1e54182900900ebc2e417c6,
title = "Trellis based variable rate residual image coding over noisy channels",
abstract = "We consider the lossy image compression problem and propose a model-residual approach. Polynomial basis images encode the model image and powerful new trellis codes quantize the residual part. A simple bit allocation scheme determines the residual bit rates and a variety of rates are attainable without entropy coding. The trellis structure is also used to form a joint source and channel coding scheme for the residual components. Results are shown for the 0.4-1.6 bits per pixel region. Comparisons are made to several state-of-the-art techniques and show that the proposed scheme is very competitive",
keywords = "data compression, noisy channels, image coding, Trellis coding",
author = "Tomas Eriksson and Norbert Goertz and Mirek Novak and Anderson, {John B}",
year = "2006",
doi = "10.1109/DCC.2006.80",
language = "English",
isbn = "0769525458",
publisher = "IEEE - Institute of Electrical and Electronics Engineers Inc.",
pages = "252--261",
booktitle = "Proceedings. DCC 2006. Data Compression Conference",
address = "United States",
note = "IEEE Data Compression Conf. ; Conference date: 28-03-2006 Through 30-03-2006",
}