Full Text:
<2710>
CLC number: TN919.81
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 0000-00-00
Cited: 0
Clicked: 5519
Multiple descriptions based wavelet image coding
| |||||||||||||
CHEN Hai-lin, YANG Yu-hang. Multiple descriptions based wavelet image coding[J]. Journal of Zhejiang University Science A, 2004, 5(1): 55-61.
@article{title="Multiple descriptions based wavelet image coding",
author="CHEN Hai-lin, YANG Yu-hang",
journal="Journal of Zhejiang University Science A",
volume="5",
number="1",
pages="55-61",
year="2004",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2004.0055"
}
%0 Journal Article
%T Multiple descriptions based wavelet image coding
%A CHEN Hai-lin
%A YANG Yu-hang
%J Journal of Zhejiang University SCIENCE A
%V 5
%N 1
%P 55-61
%@ 1869-1951
%D 2004
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2004.0055
TY - JOUR
T1 - Multiple descriptions based wavelet image coding
A1 - CHEN Hai-lin
A1 - YANG Yu-hang
J0 - Journal of Zhejiang University Science A
VL - 5
IS - 1
SP - 55
EP - 61
%@ 1869-1951
Y1 - 2004
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.2004.0055
Abstract: We present a simple and efficient scheme that combines multiple descriptions coding with wavelet transform under JPEG2000 image coding architecture. To reduce packet losses, controlled amounts of redundancy are added to the wavelet transform coefficients to produce multiple descriptions of wavelet coefficients during the compression process to produce multiple descriptions bit-stream of a compressed image. Even if a receiver gets only parts of descriptions (other descriptions being lost), it can still reconstruct image with acceptable quality. Specifically, the scheme uses not only high-performance wavelet transform to improve compression efficiency, but also multiple descriptions technique to enhance the robustness of the compressed image that is transmitted through unreliable network channels.
[1] Lawson, S. and Zhu, J., 2002. Image compression using wavelets and JPEG2000: a tutorial. Electron. Commun. Eng. J, 6:112-121.
[2] Mallat, S., 1989. A theory for multiresolution signal decomposition: the wavelet representation. IEEE Trans. Patt. Anal. Mach.. Intel, 11(7):674-693.
[3] Servetto, S. D., Ramchandran, K., Vaishampayan, V. and Nahrstedt, K., 1998. Multiple-Description Wavelet Based Image Coding. In: Proc. Int. Conf. Image Processing '98, Chicago, IL.
[4] Vaishampayan, V. A., 1996. Application of Multiple Description Codes to Image and Video Transmission over Lossy Networks. In: Proc. 7th Int. Workshop Packet Video, Brisbane, Australia.
[5] Wang, Y., Orchard, M. T. and Reibman, A., 1997. Multiple Description Image Coding for Noisy Channels by Pairing Transform Coefficients. In: Proc. 1st Workshop IEEE Signal Processing Soc. Multimedia Signal Processing, Princeton, NJ.
[6] Wang, Y., Orchard, M. T., Vaishampayan, V. and Reibman A.R., 2000. Multiple description coding using pairwise correlating transforms. IEEE Trans. Image Processing, 9:813-825.
Open peer comments: Debate/Discuss/Question/Opinion
<1>