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Weighted Distance De-interlacing Algorithm Based on EDI and NAL  

Lee, Se-Young (한양대학교 전자통신컴퓨터공학과 영상통신 및 신호처리 연구실)
Ku, Su-Il (한양대학교 전자통신컴퓨터공학과 영상통신 및 신호처리 연구실)
Jeong, Je-Chang (한양대학교 전자통신컴퓨터공학과 영상통신 및 신호처리 연구실)
Abstract
This paper proposes a new de-interlacing method which results in efficient visual improvement. In the proposed algorithm, the distance weight was considered and the previously developed the EDI (Edge Dependent Interpolation) algorithm and the NAL (New Adaptive Linear interpolation) algorithm were used as a basis. The do-interlacing method was divided into two main parts. First, the edge direction was found by using information of closer pixels. Then, missing pixels were interpolated along with the decided edge direction. In this paper, after predicting the edge through the EDI algorithm, missing pixels were interpolated by using the weighted distance based on the NAL algorithm. Experimental results indicate that the proposed algorithm be superior to the conventional algorithms in terms of the objective and subjective criteria.
Keywords
De-interlacing; Weighted Distance; interpolation; Edge Direction; Image Quality;
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