  Although the distortion correction of fisheye images has been extensively
studied, the correction of fisheye videos is still an elusive challenge. For
different frames of the fisheye video, the existing image correction methods
ignore the correlation of sequences, resulting in temporal jitter in the
corrected video. To solve this problem, we propose a temporal weighting scheme
to get a plausible global optical flow, which mitigates the jitter effect by
progressively reducing the weight of frames. Subsequently, we observe that the
inter-frame optical flow of the video is facilitated to perceive the local
spatial deformation of the fisheye video. Therefore, we derive the spatial
deformation through the flows of fisheye and distorted-free videos, thereby
enhancing the local accuracy of the predicted result. However, the independent
correction for each frame disrupts the temporal correlation. Due to the
property of fisheye video, a distorted moving object may be able to find its
distorted-free pattern at another moment. To this end, a temporal deformation
aggregator is designed to reconstruct the deformation correlation between
frames and provide a reliable global feature. Our method achieves an end-to-end
correction and demonstrates superiority in correction quality and stability
compared with the SOTA correction methods.
