Saliency-directed image interpolation using particle swarm optimization

@article{Chen2010SaliencydirectedII,
  title={Saliency-directed image interpolation using particle swarm optimization},
  author={Hsuan-Ying Chen and Jin-Jang Leou},
  journal={Signal Processing},
  year={2010},
  volume={90},
  pages={1676-1692}
}
In this study, a saliency-directed image interpolation approach using visual attention model and particle swarm optimization (PSO) is proposed. First, a block-based saliency map of an image to be interpolated is generated by the proposed visual attention model in an effective manner. Then, based on the block-based saliency map, bilinear interpolation and PSO interpolation are employed for the pixels in non-saliency blocks and saliency blocks, respectively, to obtain the final interpolation… CONTINUE READING
Highly Cited
This paper has 22 citations. REVIEW CITATIONS
11 Citations
32 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 11 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 32 references

Keys , Cubic convolution interpolation for digital image processing

  • G. R.
  • IEEE Trans . Acoust . Speech Signal Process .
  • 2010

Similar Papers

Loading similar papers…