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A Video Deinterlacing Algorithm Using Geometric Duality  

Lee, Kwang-Bo (Dept. of Non-Commissioned Officers, Anyang Technical College)
Park, Sung-Han (Dept. of Computer Science Engineering, Hanyang University)
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Abstract
A single field deinterlacing method, namely interpolation algorithm derived from low resolution (ILR), is presented in this paper. Traditional deinterlacing methods usually employ edge-based interpolation technique within pixel-based estimation. However, edge-based methods are somehow sensitive to noise and intensity variation in the image. Moreover, the methods are not satisfied in deciding the exact edge direction which controls the performance of the interpolation. In order to reduce the sensitivity, the proposed algorithm investigates low-resolution characteristics of the pixel to be interpolated, and applies it to high-resolution image. Simulation results demonstrates that the proposed method gives not only a better objective performance in terms of PSNR results compare to conventional edge-based interpolation methods, but also better subjective image quality.
Keywords
deinterlacing; single field interpolation; edge-directed prediction; post processing; low resolution; high resolution;
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