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Image enhancement by local information fusion with pre-processing and composed metric

机译:通过局部信息融合与预处理和组合度量来增强图像

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摘要

An imaging enhancement technique capable of mitigating the effect of atmospheric turbulence on wide field-of-view images is presented. The method is based on the local information fusion from a set of short-exposure anisoplanatic images. Since anisoplanatism affects short-exposure images locally, the synthetic imaging algorithm uses local image quality information. Pre-processing of the source data and use of a composed image quality metric are considered. The synthetic imaging technique is tested on experimental data. The synthesized images show an improvement in image quality compared to the original set of images.
机译:提出了一种能够减轻大气湍流对宽视场图像影响的成像增强技术。该方法基于来自一组短曝光非平面图像的局部信息融合。由于各向异性影响局部影响短曝光图像,因此合成成像算法使用局部图像质量信息。考虑了源数据的预处理和组合图像质量度量的使用。在实验数据上测试了合成成像技术。与原始图像集相比,合成图像显示出图像质量的改善。

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