Corpus ID: 1527573

Dictionary Learning for Deblurring and Digital Zoom

@article{CouzinieDevy2011DictionaryLF,
  title={Dictionary Learning for Deblurring and Digital Zoom},
  author={Florent Couzinie-Devy and Julien Mairal and Francis R. Bach and Jean Ponce},
  journal={ArXiv},
  year={2011},
  volume={abs/1110.0957}
}
  • Florent Couzinie-Devy, Julien Mairal, +1 author Jean Ponce
  • Published in ArXiv 2011
  • Computer Science
  • This paper proposes a novel approach to image deblurring and digital zooming using sparse local models of image appearance. These models, where small image patches are represented as linear combinations of a few elements drawn from some large set (dictionary) of candidates, have proven well adapted to several image restoration tasks. A key to their success has been to learn dictionaries adapted to the reconstruction of small image patches. In contrast, recent works have proposed instead to… CONTINUE READING

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    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 30 REFERENCES

    Task-Driven Dictionary Learning

    VIEW 8 EXCERPTS

    Solving Inverse Problems With Piecewise Linear Estimators: From Gaussian Mixture Models to Structured Sparsity

    VIEW 5 EXCERPTS
    HIGHLY INFLUENTIAL

    Image Super-Resolution Via Sparse Representation

    VIEW 10 EXCERPTS
    HIGHLY INFLUENTIAL

    Super-resolution from a single image

    VIEW 8 EXCERPTS
    HIGHLY INFLUENTIAL

    Shape-adaptive DCT for denoising and image reconstruction

    VIEW 7 EXCERPTS
    HIGHLY INFLUENTIAL

    Image restoration by sparse 3D transform-domain collaborative filtering

    VIEW 5 EXCERPTS
    HIGHLY INFLUENTIAL

    Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries

    VIEW 6 EXCERPTS
    HIGHLY INFLUENTIAL

    Non-local sparse models for image restoration

    VIEW 3 EXCERPTS