Carhart G W, Vorontsov M A
Opt Lett. 1998 May 15;23(10):745-7. doi: 10.1364/ol.23.000745.
We introduce a synthetic-imaging technique that can be applied to correct anisoplanatic images degraded by atmospheric turbulence. This method is based on local image-quality analysis applied to a large set of short-exposure images and can be considered a generalization of the frame-selection technique. Experimental results obtained for atmospheric data demonstrate the efficiency of the synthetic-imaging technique in improving image quality.
我们介绍了一种合成成像技术，该技术可用于校正因大气湍流而退化的非等晕像。此方法基于对大量短曝光图像进行的局部图像质量分析，可被视为帧选择技术的一种推广。针对大气数据获得的实验结果证明了合成成像技术在提高图像质量方面的有效性。
