Abstract

Based on the consideration of easy achievement in modern sensors, this paper further exploits the possibility of the recovery of high-speed video (HSV) by a single flutter shutter camera. Taking into account different degrees of smoothness along the spatial and temporal dimensions of HSV, this paper proposes to use a three-dimensional hyperbolic wavelet basis based on Kronecker product to jointly model the spatial and temporal redundancy of HSV. Besides, we incorporate the total variation of temporal correlations in HSV as a prior knowledge to further enhance our reconstruction quality. We recover the underlying HSV frames from the observed low-speed coded video by solving a convex minimization problem. The experimental results on simulated and real-world videos both demonstrate the validity of the proposed method.

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