Statistical Learning of Rational Wavelet Transform for Natural Images

@article{Ansari2018StatisticalLO,
  title={Statistical Learning of Rational Wavelet Transform for Natural Images},
  author={Naushad Ansari and Anubha Gupta},
  journal={2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  year={2018},
  pages={4679-4683}
}
  • Naushad Ansari, Anubha Gupta
  • Published 2018
  • Computer Science
  • 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • Motivated with the concept of transform learning and the utility of rational wavelet transform in audio and speech processing, this paper proposes Rational Wavelet Transform Learning in the Statistical sense (RWLS) for natural images. The proposed RWLS design is carried out via lifting framework and is shown to have a closed form solution. The efficacy of the learned transform is demonstrated in the application of compressed sensing (CS) based reconstruction. The learned RWLS is observed to… CONTINUE READING

    Figures, Tables, and Topics from this paper.

    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 27 REFERENCES
    Lifting-based rational wavelet design from a given signal
    2
    Block Compressed Sensing of Natural Images
    561
    Online Sparsifying Transform Learning— Part I: Algorithms
    65
    An iterated rational filter bank for audio coding
    20