Wavelet-based L-infinite scalable coding

A new wavelet-based embedded image coding technique is proposed. For any desired L/sub /spl infin//-distortion bound, the bit stream can be truncated at a corresponding bit rate, so that the target upper bound on the absolute values of the pixels of the reconstruction error image is guaranteed. The algorithm outperforms embedded L/sub 2/-oriented wavelet coders in terms of maximum absolute error.

[1]  Peter Schelkens,et al.  Wavelet-based fixed and embedded L-infinite-constrained image coding , 2003, J. Electronic Imaging.

[2]  I. Miller.  Probability, Random Variables, and Stochastic Processes , 1966 .

[3]  William A. Pearlman,et al.  A new, fast, and efficient image codec based on set partitioning in hierarchical trees , 1996, IEEE Trans. Circuits Syst. Video Technol..

[4]  John G. Proakis,et al.  Probability, random variables and stochastic processes , 1985, IEEE Trans. Acoust. Speech Signal Process..

[5]  Wim Sweldens,et al.  Lifting scheme: a new philosophy in biorthogonal wavelet constructions , 1995, Optics + Photonics.

[6]  Peter Schelkens,et al.  Wavelet Coding of Volumetric Medical Datasets , 2003, IEEE Trans. Medical Imaging.

[7]  Tenkasi V. Ramabadran,et al.  Near-lossless compression of medical images through entropy-coded DPCM , 1994, IEEE Trans. Medical Imaging.

[8]  Olivier Rioul,et al.  Image coding with an Linfinity norm and confidence interval criteria , 1998, IEEE Trans. Image Process..

[9]  Xiaolin Wu,et al.  Linfinity constrained high-fidelity image compression via adaptive context modeling , 2000, IEEE Trans. Image Process..

[10]  Allen Gersho,et al.  Vector quantization and signal compression , 1991, The Kluwer international series in engineering and computer science.