Nearest neighbor value interpolation
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In mathematics applied to computer graphics, nearest neighbor value interpolation is an advanced method of image interpolation.[1] 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,[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
- ^ Rukundo, Olivier; Cao, Hanqiang (2012). "LU Research Portal". arXiv:1211.1768. doi:10.14569/IJACSA.2012.030405. S2CID 196185417. Retrieved September 30, 2022.
{{cite journal}}: Cite journal requires|journal=(help) - ^ "China National Knowledge Infrastructure". Retrieved May 9, 2012.
- ^ 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.
- ^ "IWACI 2011". Archived from the original on August 3, 2012. Retrieved October 19, 2011.
- ^ "MENDELEY". The Fourth International Workshop on Advanced Computational Intelligence. doi:10.1109/IWACI.2011.6160045. S2CID 14887648. Retrieved May 17, 2012.