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Nearest neighbor value interpolation

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Not to be confused with Nearest neighbor interpolation.

In mathematics applied to computer graphics, nearest neighbor value interpolation is an advanced method of image interpolation.[citation needed] 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 Dr. Olivier Rukundo in 2012 in his PhD dissertation[1][2] the first work [3] presented at the fourth International Workshop on Advanced Computational Intelligence,[4] was based only on the pixel value corresponding to the smallest absolute difference[5] 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. ^ "Lund University". Retrieved June 7, 2021.
  2. ^ "China National Knowledge Infrastructure". Retrieved May 9, 2012.
  3. ^ 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.
  4. ^ "IWACI 2011". Archived from the original on August 3, 2012. Retrieved October 19, 2011.
  5. ^ 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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