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Research Article | Open Access |

Nearest Neighbor Value Interpolation

Author 1: Olivier Rukundo Author 2: Hanqiang Cao
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 3, No. 4 · Published 2012 · Cited by 236

DOI: https://doi.org/10.14569/IJACSA.2012.030405

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Abstract

This paper presents the nearest neighbor value (NNV) algorithm for high resolution (H.R.) image interpolation. The difference between the proposed algorithm and conventional nearest neighbor algorithm is that the concept applied, to estimate the missing pixel value, is guided by the nearest value rather than the distance. In other words, the proposed concept selects one pixel, among four directly surrounding the empty location, whose value is almost equal to the value generated by the conventional bilinear interpolation algorithm. The proposed method demonstrated higher performances in terms of H.R. when compared to the conventional interpolation algorithms mentioned.

Keywords

neighbor value nearest bilinear bicubic image interpolation.

How to Cite this Article

Rukundo, O., & Cao, H. (2012). Nearest Neighbor Value Interpolation. International Journal of Advanced Computer Science and Applications, 3(4). https://doi.org/10.14569/IJACSA.2012.030405

Rukundo, Olivier, and Hanqiang Cao. "Nearest Neighbor Value Interpolation." International Journal of Advanced Computer Science and Applications, vol. 3, no. 4, 2012, https://doi.org/10.14569/IJACSA.2012.030405.

@article{Rukundo2012,
  title     = {Nearest Neighbor Value Interpolation},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {3},
  number    = {4},
  year      = {2012},
  publisher = {The Science and Information Organization},
  author    = {Olivier Rukundo and Hanqiang Cao},
  doi       = {10.14569/IJACSA.2012.030405},
  url       = {https://doi.org/10.14569/IJACSA.2012.030405}
}

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