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重建是改善数字全息图像质量的一种重要途径,在分析影响数字全息图像重建质量主要因素的基础上,提出一种新型的数字全息图像重建模型。首先分析数字全息图成像的原理,确定影响数字全息图质量主要因素为:像素大小、抽样频率和感光面积,然后采用改进支持向量机对像素大小、抽样频率和感光面积与最佳全息记录光路之间的关系进行拟合,最后根据最佳全息记录光路重建数字全息图像,仿真实验结果明,本文模型可以重建出清晰的数字全息图像,结果可以为提高数字全息图像质量提供一定的借鉴。
Reconstruction is an important way to improve the digital holographic image quality. Based on the analysis of the main factors affecting the quality of digital holographic image reconstruction, a new type of digital holographic image reconstruction model is proposed. Firstly, the principle of digital hologram imaging is analyzed to determine the main factors that affect the quality of digital hologram: pixel size, sampling frequency and area. Then, an improved support vector machine (SVM) is used to measure pixel size, sampling frequency and area, Finally, the digital holographic image is reconstructed based on the best holographic recording optical path. The simulation results show that this model can reconstruct a clear digital holographic image, and the result can provide reference for improving the digital holographic image quality.