Misplaced Pages

Nearest neighbor value interpolation

Article snapshot taken from Wikipedia with creative commons attribution-sharealike license. Give it a read and then ask your questions in the chat. We can research this topic together.
Not to be confused with Nearest neighbor interpolation.
The topic of this article may not meet Misplaced Pages's general notability guideline. Please help to demonstrate the notability of the topic by citing reliable secondary sources that are independent of the topic and provide significant coverage of it beyond a mere trivial mention. If notability cannot be shown, the article is likely to be merged, redirected, or deleted.
Find sources: "Nearest neighbor value interpolation" – news · newspapers · books · scholar · JSTOR (November 2021) (Learn how and when to remove this message)

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 Dr. Olivier Rukundo in 2012 in his PhD dissertation the first work presented at the fourth International Workshop on Advanced Computational Intelligence, was based only on the pixel value corresponding to the smallest absolute difference 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.

References

  1. "Semantic Scholar". Retrieved November 7, 2012.
  2. "International Journal of Advanced Computer Science and Applications". Retrieved November 8, 2012.
  3. "Lund University". Retrieved June 7, 2021.
  4. "China National Knowledge Infrastructure". Retrieved May 9, 2012.
  5. Rukundo, Olivier; Wu, Kaining; Cao, Hanqiang (October 2011). "Image interpolation based on the pixel value corresponding to the smallest absolute difference". The Fourth International Workshop on Advanced Computational Intelligence. pp. 432–435. doi:10.1109/IWACI.2011.6160045. ISBN 978-1-61284-374-2. S2CID 14887648. Retrieved September 30, 2022.
  6. "IWACI 2011". Archived from the original on August 3, 2012. Retrieved October 19, 2011.
  7. Rukundo, Olivier; Wu, Kaining; Cao, Hanqiang (2011). "Image interpolation based on the pixel value corresponding to the smallest absolute difference". The Fourth International Workshop on Advanced Computational Intelligence. pp. 432–435. doi:10.1109/IWACI.2011.6160045. ISBN 978-1-61284-374-2. S2CID 14887648. Retrieved May 17, 2012.
Category: