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    • 5. 发明授权
    • Autofocus method
    • 自动对焦方式
    • US08508652B2
    • 2013-08-13
    • US13020805
    • 2011-02-03
    • Felix AlbuVlad PoenaruAlexandru Drimbarean
    • Felix AlbuVlad PoenaruAlexandru Drimbarean
    • G03B13/00H04N5/232H04N5/228G06K9/40G06K9/36G06K9/64
    • H04N5/23212
    • An autofocus method includes acquiring multiple images each having a camera lens focused at a different focus distance. A sharpest image is determined among the multiple images. Horizontal, vertical and/or diagonal integral projection (IP) vectors are computed for each of the multiple images. One or more IP vectors of the sharpest image is/are convoluted with multiple filters of different lengths to generate one or more filtered IP vectors for the sharpest image. Differences are computed between the one or more filtered IP vectors of the sharpest image and one or more IP vectors of at least one of the other images of the multiple images. At least one blur width is estimated between the sharpest image and the at least one of the other images of the multiple images as a minimum value among the computed differences over a selected range. The steps are repeated one or more times to obtain a sequence of estimated blur width values. A focus position is adjusted based on the sequence of estimated blur width values.
    • 自动聚焦方法包括获取多个图像,每个图像具有以不同对焦距离聚焦的相机透镜。 在多个图像之间确定最清晰的图像。 为多个图像中的每一个计算水平,垂直和/或对角积分投影(IP)向量。 最清晰图像的一个或多个IP向量与不同长度的多个滤波器进行卷积,以生成用于最清晰图像的一个或多个滤波IP向量。 在最清晰图像的一个或多个滤波IP向量与多个图像的至少一个其他图像的一个或多个IP向量之间计算差异。 在所选择的范围内的所计算的差值中,将最清晰的图像和多个图像的至少一个其他图像之间的至少一个模糊宽度估计为最小值。 重复这些步骤一次或多次以获得估计的模糊宽度值的序列。 基于估计的模糊宽度值的顺序来调整焦点位置。