Directional cubic convolution interpolation

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]}

References

↑ 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.

[1] 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.

[1]

v t e Video processing
Post-processing	Deblocking Resizing Comparison Deinterlacing Denoising Deflickering
Special processing	Film colorization (tinting) Color grading Film look Super-resolution imaging Video matting Uncompressed Pixel art scaling Telecine

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Directional cubic convolution interpolation

See also

References