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为减少噪声对相位恢复过程的影响,快速得到正确的解包裹相位,提出了一种改进的相位解包裹方法——加权离散余弦变换解包裹算法。该方法把离散余弦变换和标识相位数据好坏的质量权值结合起来,兼有速度快和可靠度高的优势。为验证此算法,对模拟和实验得到的包裹相位图添加随机噪声和散粒噪声,同时采用加权与非加权离散余弦变换算法进行处理,所得到的解包裹结果与未加噪声的解包裹相位值进行比较,结果表明,通过加权离散余弦变换算法恢复的相位图比非加权离散余弦变换算法所恢复的相位图更接近于理想值,而且两种算法的运行速度基本相同,这证明提出的算法不仅保证了效率高的优点,而且所恢复的解包裹相位具有较好的噪声免疫能力和可靠度。
In order to reduce the influence of noise on the phase recovery process and get the correct unwrapping phase quickly, an improved phase unwrapping method - weighted DCT unwrapping algorithm is proposed. The method combines the discrete cosine transform with the weight of quality that identifies the phase data, which has the advantages of fast speed and high reliability. In order to validate this algorithm, we add random noise and shot noise to the simulated and experimentally obtained phase envelopes, and apply the weighted and unweighted discrete cosine transform algorithm to process the results. Compared with unwrapped unwrapped phase values The results show that the phase map recovered by weighted discrete cosine transform algorithm is closer to the ideal value than the non-weighted discrete cosine transform algorithm, and the running speed of the two algorithms are basically the same, which proves that the proposed algorithm not only The advantages of high efficiency are guaranteed, and the recovered unwrapped phase has better noise immunity and reliability.