In mathematics applied to computer graphics, nearest neighbor value interpolation is an advanced method of image interpolation. This method uses the pixel value corresponding to the smallest absolute difference when a set of four known value pixels has no mode. Proposed by Olivier Rukundo in 2012 in his PhD dissertation,[1] the first work [2]presented at the fourth International Workshop on Advanced Computational Intelligence,[3] was based only on the pixel value corresponding to the smallest absolute difference[4] to achieve high resolution and visually pleasant image. This approach was since upgraded to deal with a wider class of image interpolation artefacts which reduce the quality of image, and as a result, several future developments have emerged, drawing on various aspects of the pixel value corresponding to the smallest absolute difference.

References

  1. ↑ "China National Knowledge Infrastructure". Retrieved May 9, 2012.
  2. ↑ Rukundo, Olivier; Wu, Kaining; Cao, Hanqiang (October 2011). "Image interpolation based on the pixel value corresponding to the smallest absolute difference". The Fourth International Workshop on Advanced Computational Intelligence. pp. 432–435. doi:10.1109/IWACI.2011.6160045. ISBN 978-1-61284-374-2. S2CID 14887648. Retrieved September 30, 2022.
  3. ↑ "IWACI 2011". Archived from the original on August 3, 2012. Retrieved October 19, 2011.
  4. ↑ Rukundo, Olivier; Wu, Kaining; Cao, Hanqiang (2011). "Image interpolation based on the pixel value corresponding to the smallest absolute difference". The Fourth International Workshop on Advanced Computational Intelligence. pp. 432–435. doi:10.1109/IWACI.2011.6160045. ISBN 978-1-61284-374-2. S2CID 14887648. Retrieved May 17, 2012.
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