Pixel-wise parallel calculation for depth from focus with adaptive focus measure
Pixel-wise parallel calculation for depth from focus with adaptive focus measure
复制标题
使用自适应对焦测量对焦点深度进行逐像素并行计算
DOI：
10.1007/s11045-021-00794-9
复制
发表时间：
2022
影响因子：
2.5
通讯作者：
Kiyoshi Tanaka
中科院分区：
文献类型：
--
作者：
Yoichi Matsubara;Keiichiro Shirai;Yuya Ito;Kiyoshi Tanaka
焦深方法可以从以不同焦点设置拍摄的一组图像中估计深度。我们最近提出了一种方法，该方法使用目标像素的亮度值与相邻像素的平均值之间的比率的关系。这种关系具有泊松分布。尽管其性能良好，但该方法需要大量的存储器和计算时间，因为它需要在逐像素的基础上存储每个深度和每个窗口半径的焦点测量值，并且执行两次的用于计算平均值的滤波使得相邻像素之间的关系太强而不能并行化逐像素处理。在本文中，我们提出了一种近似计算方法，可以得到几乎相同的结果与一个单一的时间滤波操作，并使像素级并行化。这种逐像素处理不需要存储上述聚焦测量值，这减少了存储器的量。此外，利用逐像素处理，我们提出了一种确定过程窗口大小的方法，可以提高噪声容限和无纹理区域的深度估计。通过实验，我们表明，我们的新方法可以更好地估计深度值在更短的时间。
Depth-from-focus methods can estimate the depth from a set of images taken with different focus settings. We recently proposed a method that uses the relationship of the ratio between the luminance value of a target pixel and the mean value of the neighboring pixels. This relationship has a Poisson distribution. Despite its good performance, the method requires a large amount of memory and computation time because it needs to store focus measurement values for each depth and each window radius on a pixel-wise basis, and filtering to compute the mean value, which is performed twice, makes the relationship among neighboring pixels too strong to parallelize the pixel-wise processing. In this paper, we propose an approximate calculation method that can give almost the same results with a single time filtering operation and enables pixel-wise parallelization. This pixel-wise processing does not require the aforementioned focus measure values to be stored, which reduces the amount of memory. Additionally, utilizing the pixel-wise processing, we propose a method of determining the process window size that can improve noise tolerance and in depth estimation in texture-less regions. Through experiments, we show that our new method can better estimate depth values in a much shorter time.
通过自适应焦点测量和高阶导数从焦点形状
DOI：
--
发表时间：
2015
期刊：
British Machine Vision Conference
影响因子：
--
作者：
Yuval Frommer;Rami Ben;N. Kiryati
通讯作者：
N. Kiryati
影响因子：
3
作者：
P. Sliwinski;Krzysztof S. Berezowski;Piotr Patronik;Paweł Wachel
通讯作者：
Paweł Wachel
对焦技巧
DOI：
10.1117/12.132073
发表时间：
1992
期刊：
--
影响因子：
--
作者：
Murali Subbarao;Tae;Arman Nikzad
通讯作者：
Arman Nikzad