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Content Adaptive Interpolation for Intra-field Deinterlacting  

Kim, Won-Ki (한양대학교 전자통신컴퓨터공학과 영상통신 및 신호처리 연구실)
Jin, Soon-Jong (한양대학교 전자통신컴퓨터공학과 영상통신 및 신호처리 연구실)
Jeong, Je-Chang (한양대학교 전자통신컴퓨터공학과 영상통신 및 신호처리 연구실)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.32, no.10C, 2007 , pp. 1000-1009 More about this Journal
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 do-interlacing algorithm is activated in order to obtain the best performance. Experimental results demonstrate that the CAI method performs better than previous techniques.
Keywords
Deinterlacing; Interpolation; Content Adaptive; Image Enhancement; Edge Directed;
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