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Robust Global Based Spatial Correlation Optical Flow in Bidirectional Confidential Technique with Bilateral Filter

机译:双侧滤波器双向机密技术的鲁棒全局空间相关光学流动

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Noise is one of the main factors that impact the performance of optical flow where the result in motion vector of optical flow is degraded. Many areas in advance require a result of optical flow as a preprocessing such as super resolution image reconstruction, robot vision, motion estimation, edge detection, motion tracking and etc. Then, the accuracy in the result of motion vector from optical flow is very importance. This paper introduces the robust model of optical flow by using bidirectional confidential technique together with bilateral filter for global based spatial correlation where the efficiency of the proposed model is evaluated by Peak Signal to Noise Ratio (PSNR) under noisy condition.
机译:噪声是影响光学流量的结果的光流量的性能的主要因素之一。预先提前许多区域需要光流量作为预处理的结果,例如超分辨率图像重建,机器人视觉,运动估计,边缘检测,运动跟踪等,然后,来自光学流的运动矢量的精度非常重要。本文介绍了通过使用双向机密技术与双边滤波器的光流量的鲁棒模型,用于全球基于空间相关性,在噪声状态下通过峰值信号评估所提出的模型的效率(PSNR)。

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