DocumentCode :
1122219
Title :
Wavelet-based scalable L-infinity-oriented compression
Author :
Alecu, Alin ; Munteanu, Adrian ; Cornelis, Jan P H ; Schelkens, Peter
Author_Institution :
Electron. & Informatics Dept., Inst. for BroadBand Technol., Brussels
Volume :
15
Issue :
9
fYear :
2006
Firstpage :
2499
Lastpage :
2512
Abstract :
Among the different classes of coding techniques proposed in literature, predictive schemes have proven their outstanding performance in near-lossless compression. However, these schemes are incapable of providing embedded Linfin-oriented compression, or, at most, provide a very limited number of potential Linfin bit-stream truncation points. We propose a new multidimensional wavelet-based Linfin-constrained scalable coding framework that generates a fully embedded Linfin-oriented bit stream and that retains the coding performance and all the scalability options of state-of-the-art L2-oriented wavelet codecs. Moreover, our codec instantiation of the proposed framework clearly outperforms JPEG2000 in Linfin coding sense
Keywords :
data compression; image coding; transform coding; wavelet transforms; JPEG2000; L-infinity-oriented compression; L2-oriented wavelet codecs; Linfin bit-stream truncation points; coding techniques; multidimensional wavelet-based Linfin-constrained scalable coding; near-lossless compression; predictive schemes; wavelet-based scalable compression; Codecs; Decoding; Image coding; Image reconstruction; Multidimensional systems; PSNR; Satellites; Scalability; Streaming media; Transform coding; L-infinite norm; scalability; wavelet coding;
fLanguage :
English
Journal_Title :
Image Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1057-7149
Type :
jour
DOI :
10.1109/TIP.2006.877416
Filename :
1673433
Link To Document :
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