SRL1: Structured reweighted ℓ1 minimization for compressive sampling of videos

@article{Wang2013SRL1SR,
  title={SRL1: Structured reweighted ℓ1 minimization for compressive sampling of videos},
  author={Sheng Wang and Behzad Shahrasbi and Nazanin Rahnavard},
  journal={2013 IEEE International Symposium on Information Theory},
  year={2013},
  pages={301-305}
}
In this paper, we study compressive sampling of difference frames in videos and introduce a novel reconstruction method that exploits the structural characteristic, i.e., clustered sparsity in difference frames. Our method, referred to as structured reweighted ℓ1 minimization (SRL1), estimates the signal support and adjusts the weights associated with the… CONTINUE READING