// Workers AI · dad joke modeWhy did directional cubic convolution interpolation go to therapy? It was feeling a little "dis-oriented".
(Redirected from Directional Cubic Convolution Interpolation)
 | This article has multiple issues. Please help improve it or discuss these issues on the talk page. (Learn how and when to remove these messages)
|
Directional cubic convolution interpolation (DCCI) is an edge-directed image scaling algorithm created by Dengwen Zhou and Xiaoliu Shen.[1]
By taking into account the edges in an image, this scaling algorithm reduces artifacts common to other image scaling algorithms.[which?] For example, staircase artifacts on diagonal lines and curves are eliminated.
The algorithm resizes an image to 2x its original dimensions, minus 1.[citation needed]
See also
[edit]
References
[edit]- ↑ Zhou, D.; Shen, X.; Dong, W. (24 August 2012). "Image Zooming Using Directional Cubic Convolution Interpolation (Paper and Code)". IET Image Processing. 6 (6): 627–634. doi:10.1049/iet-ipr.2011.0534. Retrieved 13 September 2015 – via MATLAB Central File Exchange.