Video deraining has attracted wide attention since the urgent
demand of high-quality video in recent years. The indistinct
details and nonideal deraining effects are the most common
defects in existing techniques, whose cause lies in the insufficient
usage of single-frame image and temporal information.
To effectively settle video deraining, we establish a new deraining
model with flow priors to simultaneously introduce
spatial and temporal information for accurately depicting the
enhancement model of the current frame. A sequential deep
unrolling framework is substantially presented by solving this
model based on optimization techniques. The ablation study
indicates our effectiveness as far as the design of architecture.
Plenty of subjective and objective evaluations fully demonstrate
our superiority in detail recovery and deraining effects
against other state-of-the-are video deraining approaches.