We propose a high-resolution and high-frame rate video imaging method in dark conditions. The proposed method consists of two steps. First, we acquired a pair of video sequences that took the same scene with different spatio-temporal resolution. One was a long exposure video sequence with high-resolution and low-frame rate. The other was a short exposure video sequence with low-resolution and high-frame rate. Second, we mutually compensated spatio-temporal information between the two video sequences since the long exposure made motion blurs and the low-resolution imaging made spatial blurs. The compensation was performed by minimization of cost function. Our method significantly reduced those blurs because the lack of information in one video sequence causing such blurs was compensated by the other one. In this paper we show the advantages of our method using both simulation and a prototype camera system.
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