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In mathematics applied to computer graphics, nearest neighbor value interpolation is an advanced method of image interpolation [1]. 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 [2] [3] [4] the first work [5] presented at the fourth International Workshop on Advanced Computational Intelligence,[6] was based only on the pixel value corresponding to the smallest absolute difference[7] 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
edit- ^ "Semantic Scholar". Retrieved November 7, 2012.
- ^ "International Journal of Advanced Computer Science and Applications". Retrieved November 8, 2012.
- ^ "Lund University". Retrieved June 7, 2021.
- ^ "China National Knowledge Infrastructure". Retrieved May 9, 2012.
- ^ 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.
- ^ "IWACI 2011". Archived from the original on August 3, 2012. Retrieved October 19, 2011.
- ^ 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.