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A Fast Phase Unwrapping Algorithm Based on Minimum Discontinuity by Blocking

机译:基于分块最小间断的快速相位展开算法

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Two-dimensional phase unwrapping is one of the key problems in many signal processing applications. Flynn's minimum discontinuity phase unwrapping is one of the algorithm which can solve many different kinds of phase unwrapping problems successfully, but its computation efficiency is too low. To overcome this drawback, a blocked minimum discontinuity phase unwrapping algorithm is proposed. In the proposed algorithm, the wrapped phase image is tessellated into small blocks. Each block is unwrapped separately by minimum discontinuity phase unwrapping algorithm, and then the unwrapped blocks are merged together using minimum discontinuity approach again. The merging process has been divided into two steps. The discontinuities between the blocks are minimized firstly, and then the unwrapped image is taken as a whole to minimize the total discontinuities. This proposed algorithm is described in detail and tested on an IFSAR experimental wrapped phase image and the Etna wrapped image. Results show that the proposed algorithm works well and is more efficient than the Flynn's minimum discontinuity algorithm.
机译:二维相位展开是许多信号处理应用中的关键问题之一。 Flynn的最小不连续性相位展开是可以成功解决多种相位展开问题的算法之一,但其计算效率太低。为了克服这个缺点,提出了一种阻塞最小不连续相位展开算法。在提出的算法中,将包裹的相位图像细分为小块。通过最小不连续性相位展开算法分别对每个块进行展开,然后使用最小不连续性方法再次将展开的块合并在一起。合并过程分为两个步骤。首先将块之间的不连续性最小化,然后将未包装的图像作为一个整体进行拍摄,以使总不连续性最小化。对该算法进行了详细描述,并在IFSAR实验包裹相位图像和Etna包裹图像上进行了测试。结果表明,所提出的算法比Flynn的最小不连续性算法效果更好,效率更高。

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