Selecting a suitable autofocus critical function to accurately obtain the defocused distance in a digital holographic microscope (DHM) is the key to digital reconstruction. Several typical autofocus methods have been proposed to calculate the defocused distance by ascertaining the global extreme value of the critical functions to determine the best focused plane. In this work, a novel digital holographic autofocus algorithm based on the weighting factor of the discrete cosine transform (DCT) is proposed. We compare the proposed method with several typical methods involving SPEC, DIF, GRA and LAP under different noise conditions to evaluate the capability of our method.The experimental results of HeLa cells and phase resolution target verify that our method had a good performance in terms of applicability and noise-resistance.
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