Nearest neighbor value interpolation

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. Initially proposed by Olivier Rukundo, in his PhD research, the first work presented at the fourth International Workshop on Advanced Computational Intelligence was only based on the pixel value corresponding to the smallest absolute difference. This original idea has since diversified to minimize a wider class of image interpolation artefacts in addition to computational efforts, and as a result, several future developments have emerged, drawing on various aspects of the pixel value corresponding to the smallest absolute difference.