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 Linf-oriented compression, or, at most, provide a very limited number of potential Linf bit-stream truncation points. We propose a new multi-dimensional wavelet-based Linf-constrained scalable coding framework that generates a fully embedded Linf-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 Linf coding sense.
Alecu, A, Munteanu, A, Cornelis, J & Schelkens, P 2006, 'Wavelet-based Scalable L-infinity-oriented Compression', IEEE Transactions on Image Processing, vol. 15, no. 9, pp. 2499-2512.
Alecu, A., Munteanu, A., Cornelis, J., & Schelkens, P. (2006). Wavelet-based Scalable L-infinity-oriented Compression. IEEE Transactions on Image Processing, 15(9), 2499-2512.
@article{3dca5b4480874b33b95a8d8081dec75d,
title = "Wavelet-based Scalable L-infinity-oriented Compression",
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 Linf-oriented compression, or, at most, provide a very limited number of potential Linf bit-stream truncation points. We propose a new multi-dimensional wavelet-based Linf-constrained scalable coding framework that generates a fully embedded Linf-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 Linf coding sense.",
keywords = "wavelet, scalable coding, L-infinity coding",
author = "Alin Alecu and Adrian Munteanu and Jan Cornelis and Peter Schelkens",
note = "IEEE Transactions on Image Processing, to appear, pp. , .",
year = "2006",
month = sep,
language = "English",
volume = "15",
pages = "2499--2512",
journal = "IEEE Transactions on Image Processing",
issn = "1057-7149",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "9",
}