Hadamard编码调制关联成像的阈值处理研究

关联成像是一种通过单像素探测器以成像时间换取空间分辨率的新颖成像方案，然而，其存在重建质量低、数据采集时间长的问题。Hadamard编码调制计算关联成像能够实现高效率的成像，显著提高了关联成像方案的适用性，但是其独特的图像噪声集中现象是影响其实用化亟待解决的难题。通过分析Hadamard矩阵作为测量矩阵计算关联成像重建结果的噪声特点，基于图像分割理论，提出了一种利用阈值处理和形态学图像增强的Hadamard编码调制关联成像噪声压制方案，并通过实验验证了该方案的可行性，获得接近8 dB的光学图像增强。该方案对二值图像和灰度图像都有比较好的效果，其工作促进了关联成像技术的实用化。

Research on thresholding method of Hadamard coded modulation correlation imaging

Correlation imaging is an innovative imaging scheme, which transforms the imaging time to a spatial resolution by a single pixel detector. However, there are problems of low reconstruction quality and long data acquisition time. Hadamard coded modulation computation correlation imaging can achieve efficient imaging and significantly improve the applicability, but the noise in imaging reconstruction, which restricted the practicability, is a challenge needs to be tackled urgently. A correlation imaging related noise suppression scheme was proposed by thresholding method and morphological image enhancement, by analyzing the noise characteristics of the reconstructed results of the correlation imaging, which the Hadamard matrix as a measurement matrix and the feasibility of this scheme was verified by experiments, and nearly 8 dB enhancement of optical image was achieved. This imaging scheme is efficient for two valued images and grayscale images, and its work promotes the practicability of correlation imaging technology.