Efficient adaptive deinterlacing algorithm with awareness of closeness and similarity

Jin Wang; Gwanggil Jeon; Jechang Jeong

doi:10.1117/1.OE.51.1.017003

6 February 2012 Efficient adaptive deinterlacing algorithm with awareness of closeness and similarity

Jin Wang, Gwanggil Jeon, Jechang Jeong

Author Affiliations +

Funded by: National Research Foundation of Korea (NRF)

Optical Engineering, Vol. 51, Issue 1, 017003 (February 2012). https://doi.org/10.1117/1.OE.51.1.017003

Abstract

We introduces an efficient intra-field deinterlacing algorithm while considering both closeness and similarity between the interpolated pixel and the neighbor pixels. Instead of estimating the edge orientations via limited candidate directions as previous intra-field deinterlacing methods, we propose an adaptive spatial locality- and similarity-based deinterlacing method. Many deinterlacing methods described in the literature only consider the similarity between neighbor pixels and interpolated pixels; however, awareness of distance correlation and spatial locality has not yet been studied. Experimental results indicate that the proposed scheme outperforms a number of existing approaches, in terms of both the objective and subjective performance.

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Jin Wang, Gwanggil Jeon, and Jechang Jeong "Efficient adaptive deinterlacing algorithm with awareness of closeness and similarity," Optical Engineering 51(1), 017003 (6 February 2012). https://doi.org/10.1117/1.OE.51.1.017003

Published: 6 February 2012

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