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A New Edge-based Intra-field Interpolation Method for Deinterlacing Using Locally Adaptive-thresholded Binary Image

机译:一种新的基于边缘的场内插值方法,使用局部自适应阈值二进制图像进行去隔行

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摘要

This paper proposes a new method to improve the performance of intra-field interpolation which is the most important element of deinterlacing method. Traditional edge- based methods were poor at determining accurate edge direction which decides interpolation performance. The proposed method decides the direction and slope of edge based on locally adaptive-thresholded binary image to improve efficiency and accuracy, and it also increased the horizontal size of search window to 15 for better direction determination at gentle slope. Compared to traditional edge- based methods, interpolation based on binary image, which is generated using the proposed method, leads to great performance improvement. With computer simulations for a variety of images, this paper shows the new approach is much better than traditional methods.
机译:本文提出了一种提高场内插值性能的新方法,该方法是去隔行方法中最重要的要素。传统的基于边缘的方法在确定决定插值性能的精确边缘方向上很差。提出的方法基于局部自适应阈值二值图像确定边缘的方向和倾斜度,以提高效率和准确性,并且还将搜索窗口的水平尺寸增加到15,以便在平缓倾斜时更好地确定方向。与传统的基于边缘的方法相比,使用该方法生成的基于二值图像的插值可显着提高性能。通过对各种图像进行计算机模拟,本文显示了新方法比传统方法要好得多。

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