Single image super-resolution via phase congruency analysis

@article{Yu2013SingleIS,
  title={Single image super-resolution via phase congruency analysis},
  author={Licheng Yu and Yi Xu and Bo Zhang},
  journal={2013 Visual Communications and Image Processing (VCIP)},
  year={2013},
  pages={1-6}
}
  • Licheng Yu, Yi Xu, Bo Zhang
  • Published in
    Visual Communications and…
    2013
  • Computer Science
  • Single image super-resolution (SR) is a severely unconstrained task. While the self-example-based methods are able to reproduce sharp edges, they perform poorly for textures. For recovering the fine details, higher-level image segmentation and corresponding external texture database are employed in the example-based SR methods, but they involve too much human interaction. In this paper, we discuss the existing problems of example-based technique using scale space analysis. Accordingly, a robust… CONTINUE READING

    Create an AI-powered research feed to stay up to date with new papers like this posted to ArXiv

    Figures, Tables, and Topics from this paper.

    Citations

    Publications citing this paper.

    Blind Deblurring of Natural Stochastic Textures Using an Anisotropic Fractal Model and Phase Retrieval Algorithm

    VIEW 1 EXCERPT
    CITES BACKGROUND

    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 15 REFERENCES

    Single Image Super-resolution With Detail Enhancement Based on Local Fractal Analysis of Gradient

    VIEW 4 EXCERPTS
    HIGHLY INFLUENTIAL

    Gradient Profile Prior and Its Applications in Image Super-Resolution and Enhancement

    VIEW 5 EXCERPTS
    HIGHLY INFLUENTIAL

    Fast image/video upsampling

    VIEW 4 EXCERPTS
    HIGHLY INFLUENTIAL

    Image upsampling via imposed edge statistics

    VIEW 5 EXCERPTS
    HIGHLY INFLUENTIAL

    Image Super-Resolution Via Sparse Representation

    VIEW 2 EXCERPTS

    Image upsampling via texture hallucination

    VIEW 2 EXCERPTS

    QWT: Retrospective and New Applications

    Super resolution using edge prior and single image detail synthesis

    VIEW 2 EXCERPTS

    Super-resolution from a single image

    VIEW 2 EXCERPTS