@inproceedings{e9010e34c5d2422389698f76b1760c80,
title = "Multiple description image coding for noisy channels by pairing transform coefficients",
abstract = "Multiple description coding (MDC) is a way of trading off coding gain with robustness to channel errors. This paper presents a new method for MDC using the framework of transform coding. Instead of using the Karhunen-Loeve transform (KLT) that decorrelates all the coefficients, we choose the transform bases so that the coefficients are correlated pair-wise. This is accomplished by rotating every two basis vectors in the KLT. Each pair of correlated coefficients are then split between two descriptions. Only 45° rotation is considered which leads to two balanced streams. In the actual implementation, the DCT is employed in place of the KLT and the rotation of transform bases is accomplished by rotating the DCT coefficients. Experimental results show that this method can lead to satisfactory image reconstruction from any one description with a relatively small (20% for {"}lena{"}) overhead over a standard JPEG coder.",
author = "Yao Wang and Orchard, {Michael T.} and Reibman, {Amy R.}",
year = "1997",
doi = "10.1109/MMSP.1997.602671",
language = "English (US)",
series = "1997 IEEE 1st Workshop on Multimedia Signal Processing, MMSP 1997",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "419--424",
editor = "Yao Wang and Reibman, {Amy R.} and Juang, {B. H.} and Tsuhan Chen and Sun-Yuan Kung",
booktitle = "1997 IEEE 1st Workshop on Multimedia Signal Processing, MMSP 1997",
note = "1st IEEE Workshop on Multimedia Signal Processing, MMSP 1997 ; Conference date: 23-06-1997 Through 25-06-1997",
}