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首页> 外文会议>International Conference on Automatic Control and Dynamic Optimization Techniques >An efficient motion adaptive deinterlacing algorithm using improved edge-based line average interpolation
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An efficient motion adaptive deinterlacing algorithm using improved edge-based line average interpolation

机译：使用改进的基于边缘的线平均插值的高效运动自适应去隔行算法

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In this paper we present an efficient motion adaptive de-interlacing algorithm. The motion detection method and the intra-field interpolation are two main factors that affect the efficiency of motion adaptive de-interlacing. To improve the accuracy of motion detection, five consecutive interlaced fields are used and we also introduce a Gaussian filter to eliminate the affection of noise. The adaptive threshold adjusting is also helpful for the determination about which region is moving. For the moving area, we also introduce a texture detector to distinguish texture area and smooth area. Our algorithm adopts conventional edge-based line averaging (ELA) interpolation in the texture area and modified ELA interpolation is adopted in the smooth area. As a result, our algorithm outperforms other conventional non-motion compensated methods both objectively and subjectively.
机译：在本文中，我们提出了一种有效的运动自适应去隔行算法。运动检测方法和场内插值是影响运动自适应去隔行效率的两个主要因素。为了提高运动检测的准确性，使用了五个连续的隔行扫描场，并且我们还引入了一个高斯滤波器来消除噪声的影响。自适应阈值调整还有助于确定哪个区域正在移动。对于运动区域，我们还引入了纹理检测器以区分纹理区域和平滑区域。我们的算法在纹理区域采用常规的基于边缘的线平均（ELA）插值，而在平滑区域采用改进的ELA插值。结果，我们的算法在客观和主观上都优于其他传统的非运动补偿方法。

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