Nearest neighbor value interpolation: Difference between revisions
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Revision as of 03:59, 19 May 2012
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][2][3] the first work, 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 resolution 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
- ^ "Getcited". Retrieved May 1, 2012.
- ^ "IJACSA". Retrieved May 1, 2012.
- ^ "Copernicus". Retrieved May 1, 2012.
- ^ "IWACI 2011". Retrieved October 19–21, 2011.
{{cite web}}: Check date values in:|accessdate=(help) - ^ "MENDELEY". Retrieved February, 2012.
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