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Research and Realization of an Anti-noise Auto-focusing Algorithm

机译:抗噪声自聚焦算法的研究与实现

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To solve the problem that the single-peak and sensitivity of conventional image sharpness functions come down which results in slowing auto-focusing speed or even falling to focus because of noise, an anti-noise auto-focusing algorithm is proposed in this paper. The algorithm uses an anti-noise image sharpness function and a searching strategy that combines coarse focusing with fine focusing to improve auto-focusing speed and sensitivity. The experiment shows that the algorithm enhances focusing efficiency and reliability.
机译:为了解决传统图像清晰度函数的单峰和灵敏度来下来的问题,这导致自动聚焦速度减慢或由于噪声而甚至跌落以进行焦点,本文提出了一种抗噪声自对焦算法。该算法使用抗噪声图像清晰度函数和搜索策略,这些策略结合了粗略聚焦,以提高自动聚焦速度和灵敏度。实验表明该算法增强了聚焦效率和可靠性。

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