Fig. 6: Evaluation of ITI translations for the mitigation of atmospheric degradations. | Nature Communications

Fig. 6: Evaluation of ITI translations for the mitigation of atmospheric degradations.

From: A deep learning framework for instrument-to-instrument translation of solar observation data

Fig. 6

a Comparison of the ITI mitigation of atmospheric effects during varying observing conditions. From top to bottom we show low-quality KSO observations, the ITI reconstructed observations and reference high-quality observations that were taken minutes after the low-quality observation. We show two samples (800 × 800), where clouds are present in the low-quality KSO observation. The ITI reconstruction leads to clearer and unobstructed observations, where small chromospheric features remain unchanged and appear sharper. b Estimated image quality distribution of the original low-quality KSO observations (blue) and the ITI enhanced observations (orange). The red dashed line indicates the 0.25 quality threshold. c Three full-disk images with the lowest image quality after the ITI enhancement (about 0.24).

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