In order to solve the problem of phase information loss caused by non-uniform transmission of biological slices, we proposed a digital holographic measurement method based on wavelet fusion. We use a synchronous phase-shift digital holographic system to acquire three sets of holograms with different exposure times. Firstly, the holographic image is decomposed into low frequency region and high frequency region by wavelet transform. For the low-frequency region, the principle of maximum phase information is adopted, using the image with the most phase information as the reference. The grayscale values of the holographic images are evaluated and assigned accordingly. For the high-frequency regions, the regional characteristics principle is used. By evaluating the matching degree of any two images, either the maximum value method or the weighted average method is applied. The combined regions then undergo inverse wavelet transform to obtain the fused biological slice holographic image. Finally, phase reconstruction is carried out on the fused holographic image to realize phase enhancement. Experimental results show that for biological slice samples with uneven transmittance, the proposed measurement method increases the information entropy by 4.2% and the contrast by 3.8%comparedtotraditional digital holographic measurement methods. This results in enhanced clarity and information content of the phase images, achieving the goal of phase enhancement and improving measurement quality. The superiority of this method is demonstrated, indicating its broad applicability in digital holographic microscopy measurements of biological slices and other samples with complex transmittance characteristics.
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