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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.