Efficient adaptive deinterlacing algorithm with awareness of closeness and similarity

Wang, Jin; Jeon, Gwanggil; Jeong, Jechang

doi:doi:10.1117/1.OE.51.1.017003

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Optical Engineering / Volume 51 / Issue 1 / Image Processing

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Efficient adaptive deinterlacing algorithm with awareness of closeness and similarity

Opt. Eng. 51, 017003 (Feb 06, 2012); http://dx.doi.org/10.1117/1.OE.51.1.017003

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Abstract

References (22)

Jin Wang, Gwanggil Jeon, and Jechang Jeong

Hanyang University, Department of Electronics and Computer Engineering, 17 Haengdang-dong, Seongdong-gu, Seoul, Republic of Korea

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.

History

Received Jun 29, 2011
Accepted Nov 15, 2011
Revised Oct 24, 2011
Published online Feb 06, 2012

Digital Object Identifier

http://dx.doi.org/10.1117/1.OE.51.1.017003

Citation

Jin Wang, Gwanggil Jeon and Jechang Jeong, "Efficient adaptive deinterlacing algorithm with awareness of closeness and similarity", Opt. Eng. 51, 017003 (Feb 06, 2012); http://dx.doi.org/10.1117/1.OE.51.1.017003