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