Kernel-based image upscaling method with shooting artifact reduction

Chul Hee Park; Joonyoung Chang; Moon Gi Kang

doi:10.1117/12.2003326

19 February 2013 Kernel-based image upscaling method with shooting artifact reduction

Chul Hee Park, Joonyoung Chang, Moon Gi Kang

Proceedings Volume 8655, Image Processing: Algorithms and Systems XI; 86550T (2013) https://doi.org/10.1117/12.2003326
Event: IS&T/SPIE Electronic Imaging, 2013, Burlingame, California, United States

Abstract

This paper describes the interpolation algorithm which contains shooting or ringing artifact suppression based on windowed sinc interpolator. In general, the windowed sinc interpolator can achieve better performance by using wider window. However, using wide window causes more ripples that produce unwanted defects such as ringing or shooting artifact. Therefore, shooting reduction technique is proposed in this paper for using wider windows to improve the performance without shooting artifact. The proposed algorithm can suppress shooting artifact by using median sinc interpolator and it can be also used as a post processor for many kernel-based interpolation methods. The resulted image shows that the proposed algorithm can maintain local details and suppress shooting artifact in the image well.

Citation Download Citation

Chul Hee Park, Joonyoung Chang, and Moon Gi Kang "Kernel-based image upscaling method with shooting artifact reduction", Proc. SPIE 8655, Image Processing: Algorithms and Systems XI, 86550T (19 February 2013); https://doi.org/10.1117/12.2003326

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