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In mathematics applied to computer graphics, '''nearest neighbor value interpolation''' is an advanced method of |
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,<ref>{{cite web|url=http://www.getcited.org/pub/103502379|title=Getcited|accessdate=May 1, 2012}}</ref><ref>{{cite web|url=http://thesai.org/Publication/IJACSA/CurrentIssue.aspx/|title=IJACSA|accessdate=May 1, 2012}}</ref><ref>{{cite web|url=http://journals.indexcopernicus.com/index.php/ajol/karta.php?action=masterlist&id=5370/|title=Copernicus|accessdate=May 1, 2012}}</ref> the first work, presented at the fourth International Workshop on Advanced [[Computational Intelligence]],<ref>{{cite web|url=http://www.iwaci.org/iwaci2011/|title=IWACI 2011|accessdate=October 19–21, 2011}}</ref> was based only on the pixel value corresponding to the smallest [[absolute difference]]<ref>{{cite web|url=http://www.mendeley.com/research/image-interpolation-based-pixel-value-corresponding-smallest-absolute-difference/|title=MENDELEY|accessdate= February, 2012}}</ref> 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]]. |
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==References== |
==References== |
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Revision as of 10:08, 23 May 2012
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][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.
{{cite web}}: Check date values in:|accessdate=(help)