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A new approach to depth range detection by producing depth-dependent blurring effect

机译:通过产生与深度有关的模糊效果的深度范围检测的新方法

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This paper presents a new method for detecting the depth range of a scene from two differently focused images. This method first generates three images with differently emphasized blur using linear filtering of the two acquired images for more depth-sensitive estimation. In this point, this method is different from conventional approaches. The discrete Fourier transform of the ratio between the generated images is then introduced as a criterion of the depth range. Finally, through the thresholding process of the criterion according to its correspondence to the depth on the basis of the imaging model, the depth range is estimated in five depth steps. Experiments for synthesized and real images are performed to test the proposed method.
机译:本文提出了一种从两个不同聚焦的图像中检测场景深度范围的新方法。该方法首先使用两个获取的图像的线性滤波来生成具有不同强调模糊的三个图像,以进行更深入的深度估计。在这一点上,该方法不同于常规方法。然后,将所生成图像之间的比率的离散傅里叶变换作为深度范围的标准。最后,根据成像模型根据标准对应于深度的阈值处理过程,以五个深度步长估算深度范围。进行了合成图像和真实图像的实验,以测试所提出的方法。

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