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Deinterlacing method based on edge direction refinement using weighted median filter

机译:基于加权中值滤波器的边缘方向细化的去隔行方法

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摘要

In this paper, we propose an efficient deinterlacing algorithm which is an edge dependent interpolation based on edge direction refinement. The conventional edge dependent interpolation algorithms have a visually better performance than any other Intra-field deinterlacing algorithms. However they are very sensitive to noise due to the failure of estimating edge direction. In order to exactly detect edge direction, our method detects edge direction of around interpolated pixel and refines the edge direction using weighted median filter. Simulation results have shown the efficacy of the proposed method with significant improvement over the previous methods in terms of the objective PSNR quality as well as the subjective image quality.
机译:在本文中,我们提出了一种有效的去隔行算法,该算法是基于边缘方向细化的边缘相关插值。常规的依赖于边缘的内插算法在视觉上比任何其他场内去隔行算法更好。然而,由于估计边缘方向的失败,它们对噪声非常敏感。为了精确检测边缘方向,我们的方法检测内插像素周围的边缘方向,并使用加权中值滤波器细化边缘方向。仿真结果表明,该方法的有效性在客观PSNR质量以及主观图像质量方面均比以前的方法有了显着改进。

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