关联成像目标重构的伪逆迭代降噪方法

Pseudo-inverse Iterative Denoising Method for Object Reconstruction of Ghost Imaging

结合伪逆关联成像和迭代去噪关联成像,提出了关联成像目标重构的伪逆迭代方法.该方法以伪逆关联成像重构结果为初始值,选取合适的与噪声干扰相关的阈值,通过迭代运算逼近实际的噪声干扰,最终抑制噪声并提高重构图像的峰值信噪比.以峰值信噪比和相关系数为衡量标准,将伪逆迭代关联成像的重构结果与差分关联成像、伪逆关联成像进行对比分析.仿真实验结果表明,伪逆迭代方法的峰值信噪比较伪逆关联成像方法、差分关联成像方法分别高出约1.0dB、3.1dB,同时其相关系数、视觉效果也有所改善,验证了该方法的有效性.

Combining Pseudo-inverse Ghost Imaging （PGI） with iterative denoising of ghost imaging, a pseudo-inverse iterative method was proposed for object reconstruction of ghost imaging. This method employed the reconstructed results of PGI as the initial values and selected an appropriate threshold value correlated to the noise interference. It also used iterative operation to approach the actual noise interference, and enhanced the Peak Signal to Noise Ratio （PSNR） of the reconstructed images by suppressing the noise in the end. By using PSNR and correlation coefficient （CC） as the yardstick, the reconstructed results of Pseudo-inverse Iterative Ghost Imaging （PIGI） were compared and analyzed with those of Differential Ghost Imaging （DGI） and PGI. The simulation experiment results show that the PSNR of the pseudo-inverse iterative method is about 1.0 dB and 3. 1 dB higher than those of PGI and DGI respectively, and it＇s CC and visual effects are also improved compared with PGI and DGI, which verify the validity of this method.