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. 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 presented at the fourth International Workshop on Advanced Computational Intelligence,[2] was based only on the pixel value corresponding to the smallest absolute difference[3] 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
- ^ "China National Knowledge Infrastructure". Retrieved May 9, 2012.
- ^ "IWACI 2011". Archived from the original on August 3, 2012. Retrieved October 19, 2011.
- ^ "MENDELEY". Retrieved February 2012.
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