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Nearest neighbor value interpolation : ウィキペディア英語版 | Nearest neighbor value interpolation In mathematics applied to computer graphics, nearest neighbor value interpolation is an advanced method of image interpolation.〔(【引用サイトリンク】title=Getcited )〕〔(【引用サイトリンク】title=Rukundo Olivier and Cao Hanqiang, "Nearest Neighbor Value Interpolation" International Journal of Advanced Computer Science and Applications(IJACSA), 3(4), 2012 )〕〔(【引用サイトリンク】title=Copernicus )〕 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,〔(【引用サイトリンク】title=China National Knowledge Infrastructure )〕 the first work presented at the fourth International Workshop on Advanced Computational Intelligence,〔(【引用サイトリンク】title=IWACI 2011 )〕 was based only on the pixel value corresponding to the smallest absolute difference〔(【引用サイトリンク】title=MENDELEY )〕 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==
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