Diffraction-field-adaptive computational imaging for static and moving targets
Diffraction-field-adaptive computational imaging for static and moving targets
复制标题
静态和移动目标的衍射场自适应计算成像
DOI：
10.1088/2040-8986/ab2f62
复制
发表时间：
2019
影响因子：
2.1
通讯作者：
Luo Chunling
中科院分区：
文献类型：
--
作者：
Wu Heng;Wang Ruizhou;Wang Tao;Wang Zhuowei;Zhao Genping;Cheng Lianglun;Chen Meiyun;Luo Chunling
单像素计算成像（SPCI）通过多次测量目标与一系列散斑掩模之间的相关性来重建目标图像。衍射场的准确采集对SPCI成像至关重要。衍射场的损耗和畸变通常会导致成像质量的恶化或成像失败。在这里，我们提出了一种衍射场自适应方法，为SPCI提供高质量的图像重建。特别地，我们引入了一种自适应方法来精确计算参考路径上的衍射场，其中衍射场的计算宽度可以自动改变，使采样满足奈奎斯特采样定理。无论目标是运动的还是静止的，该方法都能准确地获得衍射场，减小光在传输过程中的畸变。建立了SPCI模型，并进行了3次数值实验验证了模型的性能。结果表明，该方法在场计算中避免了衍射场损失和畸变，对静态和运动目标都具有良好的成像性能。
Single-pixel computational imaging (SPCI) reconstructs a target image from multi-measurements of the correlation between the target and a series of speckle masks. Accurate acquisition of diffraction fields plays an essential role in image formation of SPCI. Loss and distortions in diffraction fields generally lead to the deterioration of the image quality or the failure of imaging. Here, we propose a diffraction-field-adaptive method that provides high-quality image reconstruction for SPCI. In particular, we introduce an adaptive method to accurately calculate the diffraction field in the reference path, where the calculation width of the diffraction field can change itself automatically to make the sampling satisfy Nyquist sampling theorem. Whether the target moves or keeps static, the diffraction field can be accurately obtained and the distortions during light transmission can be reduced by the proposed method. A SPCI model is established and three numerically experiments are conducted to verify the performance of the model. The results demonstrate that the proposed method can avoid diffraction field loss and distortions in the field calculations, and provides excellent imaging performance for both static and moving targets.