基于散斑自相关的成像方式是散射成像领域的研究热点,但成像过程中的统计噪声会影响成像结果。利用点扩展函数(PSF)对波长的响应,提出了一种提高二值目标成像质量的方法。因PSF对波长敏感,且不同波长对应的PSF不同,甚至完全不相干。PSF不相干散斑图案的自相关叠加,可以有效抑制自相关中的统计噪声,从而改善重建结果的质量。仿真模拟和实验结果表明,在相同的探测距离和采样面积下,相比于重建失败的单一波长采样,该方法能准确地重建目标。

Imaging based on speckle autocorrelation is a research hotspot in the field of scattering imaging, but the statistical noise in the imaging process will affect the imaging results. In this paper, by utilizing the response of point spread function (PSF) to wavelength, we propose a method to improve the imaging quality of binary target. Since the PSF is sensitive to the wavelength, and the PSF corresponding to different wavelengths is different or even completely uncorrelated with each other. The autocorrelation superposition of different speckle patterns with uncorrelated PSFs can effectively suppress the statistical noise in the autocorrelation, and thus improve the quality of reconstructions. Simulation and experimental results show that, at the same detection distance and sampling area, compared to the single wavelength sampling failed in reconstruction, the proposed method can reconstruct the target completely and accurately.