Nearest neighbor value interpolation: Difference between revisions
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In mathematics applied to computer graphics, '''nearest neighbor value interpolation''' is an advanced method of image [[interpolation]] |
In mathematics applied to computer graphics, '''nearest neighbor value interpolation''' is an advanced method of image [[interpolation]]<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>. 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://cdmd.cnki.com.cn/Article/CDMD-10487-1012361696.htm|title=China National Knowledge Infrastructure|accessdate=May 9, 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 14:20, 11 September 2012
In mathematics applied to computer graphics, nearest neighbor value interpolation is an advanced method of image interpolation[1][2][3]. 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[4],the first work presented at the fourth International Workshop on Advanced Computational Intelligence,[5] was based only on the pixel value corresponding to the smallest absolute difference[6] 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.
- ^ "China National Knowledge Infrastructure". Retrieved May 9, 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)