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首页> 外文期刊>Optical engineering >Comparison of bispectrum, multiframe blind deconvolution and hybrid bispectrum-multiframe blind deconvolution image reconstruction techniques for anisoplanatic, long horizontal-path imaging
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Comparison of bispectrum, multiframe blind deconvolution and hybrid bispectrum-multiframe blind deconvolution image reconstruction techniques for anisoplanatic, long horizontal-path imaging

机译：用于双平面，长水平路径成像的双谱，多帧盲反卷积和混合双谱-多帧盲反卷积图像重建技术的比较

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摘要

The potential benefits of real-time, or near-real-time, image processing hardware to correct for turbulence-induced image defects for long-range surveillance and weapons targeting are sufficient to motivate significant resource commitment to their development. Quantitative comparisons between potential candidates are necessary to decide on a preferred processing algorithm. We begin by comparing the mean-square-error (MSE) performance of speckle imaging (SI) methods and multiframe blind deconvolution (MFBD), applied to long-path horizontal imaging of a static scene under anisoplanatic seeing conditions. Both methods are used to reconstruct a scene from three sets of 1000 simulated images featuring low, moderate, and severe turbulence-induced aberrations. The comparison shows that SI techniques can reduce the MSE up to 47%, using 15 input frames under daytime conditions. The MFBD method provides up to 40% improvement in MSE under the same conditions. The performance comparison is repeated under three diminishing light conditions, 30, 15, 8 photons per pixel on average, where improvements of up to 39% can be achieved using SI methods with 25 input frames, and up to 38% for the MFBD method using 150 input frames. The MFBD estimator is applied to three sets of field data and representative results presented. Finally, the performance of a hybrid bispectrum-MFBD estimator that uses a rapid bispectrum estimate as the starting point for the MFBD image reconstruction algorithm is examined.
机译：实时或接近实时的图像处理硬件为远程监视和武器瞄准纠正湍流引起的图像缺陷的潜在优势足以激发其开发所需的大量资源。潜在候选者之间的定量比较对于确定首选处理算法很有必要。我们首先比较散斑成像（SI）方法和多帧盲反卷积（MFBD）的均方误差（MSE）性能，该方法适用于在各向异性平面条件下静态场景的长距离水平成像。两种方法均用于从三组包含低，中和严重湍流引起像差的1000张模拟图像中重建场景。比较表明，在白天情况下使用15个输入帧，SI技术可以将MSE降低多达47％。在相同条件下，MFBD方法可将MSE提升多达40％。在三个逐渐减弱的光线条件下（平均每个像素30、15、8个光子）重复进行性能比较，其中使用25个输入帧的SI方法可将性能提高39％，而使用MFBD方法则可将性能提高38％ 150个输入帧。 MFBD估计器应用于三组现场数据，并给出了代表性的结果。最后，检查了使用快速双谱估计作为MFBD图像重建算法起点的混合双谱MFBD估计器的性能。

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