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http://dx.doi.org/10.6109/jkiice.2014.18.9.2209

Improvement of Direction-Oriented Interpolation for Deinterlacing  

Park, Do-Young (Department of Computer Science, Graduate School, Sangmyung University)
Lee, Yeonkyung (Department of Computer Science, Graduate School, Sangmyung University)
Yoo, Hoon (Department of Media Software, Sangmyung University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.18, no.9, 2014 , pp. 2209-2215 More about this Journal
Abstract
This paper presents, a deinterlacing method by improving the Direction-Oriented Interpolation (DOI) technique. The technique is considered to be a very strong tool for intrafield-based deinterlacing. However, DOI has some problems such as long processing time, wrong edge detection in periodic pattern. To remedy this problem, we replace the full search in DOI by a two-step search to reduce processing time and introduces two additional processes to improve image quality. In the proposed method, the spatial direction vectors (SDVs) misread data are reconsidered to prevent them utilizing in the next interpolation step, resulting in an accurate deinterlacing method. We conduct experiments with ISO experimental images to compare the proposed method with the existing methods including line evarage (LA), edge-based line averaging (ELA), DOI, selective deinterlacing algorithm (SDA). Experimental results show the proposed method gives better performance in objective and subjective quality than existing deinterlacing methods.
Keywords
Deinterlacing; Direction-Oriented Interpolation; Direction Vectors;
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Times Cited By KSCI : 2  (Citation Analysis)
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