Fast Search of a Similar Patch for Self-Similarity Based Image Super Resolution

@article{Yoo2016FastSO,
  title={Fast Search of a Similar Patch for Self-Similarity Based Image Super Resolution},
  author={Jun Sang Yoo and Ji-Hoon Choi and Kang-Sun Choi and Dae-Yeol Lee and Hui-Yong Kim and Jong-Ok Kim},
  journal={IEICE Transactions},
  year={2016},
  volume={99-D},
  pages={2194-2198}
}
In the self-similarity super resolution (SR) approach, similar examples are searched across down-scales in the image pyramid, and the computations of searching similar examples are very heavy. This makes it difficult to work in a real-time way under common software implementation. Therefore, the search process should be further accelerated at an algorithm level. Cauchy-Schwarz inequality has been used previously for fast vector quantization (VQ) encoding. The candidate patches in the search… CONTINUE READING

Similar Papers

References

Publications referenced by this paper.
SHOWING 1-8 OF 8 REFERENCES

Self-similarity based image super-resolution on frequency domain

  • 2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference
  • 2013
VIEW 2 EXCERPTS

Tsou, “Fast VQ codebook search algorithm for grayscale image coding,

Y.-C. Hu, B.-H. Su, C.-C
  • Image and Vision Comput., vol.26,
  • 2008
VIEW 1 EXCERPT

Fast VQ encoding by an efficient kick-out condition

  • IEEE Trans. Circuits Syst. Video Techn.
  • 2000
VIEW 3 EXCERPTS