Content Adaptive Interpolation for Intra-field Deinterlacing 


Vol. 32,  No. 10, pp. 1000-1009, Oct.  2007


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  Abstract

This paper presents a content adaptive interpolation (CAI) for intra deinterlacing. The CAI consists of three steps: pre-processing, content classification, and adaptive interpolation. There are also three main interpolation methods in our proposed CAI, i.e. modified edge-based line averaging (M-ELA), gradient directed interpolation (GDI), and window matching method (WMM). Each proposed method shows different performances according to spatial local features. Therefore, we analyze the local region feature using the gradient detection and classify each missing pixel into four categories. And then, based on the classification result, a different de-interlacing algorithm is activated in order to obtain the best performance. Experimental results demonstrate that the CAI method performs better than previous techniques.

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  Cite this article

[IEEE Style]

W. Kim, S. Jin, J. Jeong, "Content Adaptive Interpolation for Intra-field Deinterlacing," The Journal of Korean Institute of Communications and Information Sciences, vol. 32, no. 10, pp. 1000-1009, 2007. DOI: .

[ACM Style]

Wonki Kim, Soonjong Jin, and Jechang Jeong. 2007. Content Adaptive Interpolation for Intra-field Deinterlacing. The Journal of Korean Institute of Communications and Information Sciences, 32, 10, (2007), 1000-1009. DOI: .

[KICS Style]

Wonki Kim, Soonjong Jin, Jechang Jeong, "Content Adaptive Interpolation for Intra-field Deinterlacing," The Journal of Korean Institute of Communications and Information Sciences, vol. 32, no. 10, pp. 1000-1009, 10. 2007.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880