DocumentCode
1742190
Title
Enhanced significance-linked connected component analysis for high performance error resilient wavelet image coding
Author
Vass, Jozsef ; Zhuang, Xinhua
Author_Institution
Eyeball.com Network Inc., Vancouver, BC, Canada
Volume
3
fYear
2000
fDate
2000
Firstpage
71
Abstract
Error resilient coding strategies are proposed and integrated with the high performance significance-linked connected component analysis (SLCCA) wavelet image codec. First, the source bitstream is packetized so that the error propagation within the bitstream is minimized. Second, hierarchical resynchronization is applied, i.e., resynchronization markers are inserted in the bitstream after each bit-plane and possibly per each scale or subband. Third, the significance-links that exploit the cross-scale dependency of wavelet coefficients are reduced. Finally, bit-plane-wise unequal error protection is applied, with the parity bits being exponentially distributed among bit-planes. Extensive performance evaluation over a binary symmetric channel demonstrates the high error resilience and efficiency of the integrated joint source-channel coding strategies with the SLCCA source codec
Keywords
codecs; image coding; synchronisation; wavelet transforms; binary symmetric channel; bit-plane-wise unequal error protection; cross-scale dependency; enhanced significance-linked connected component analysis; error propagation; hierarchical resynchronization; high performance error resilient wavelet image coding; integrated joint source-channel coding strategies; parity bits; performance evaluation; resynchronization markers; wavelet coefficients; Bit error rate; Codecs; Computer errors; Decoding; Image analysis; Image coding; NASA; Performance analysis; Wavelet analysis; Wavelet coefficients;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location
Barcelona
ISSN
1051-4651
Print_ISBN
0-7695-0750-6
Type
conf
DOI
10.1109/ICPR.2000.903488
Filename
903488
Link To Document