Reconstruction of compressed video via non-convex minimization.

This paper studies the sparsity prior to compressed video reconstruction algorithms. An effective non-convex 3DT_PV regularization (0 < p < 1) is proposed for sparsity promotion. Based on the augmented Lagrangian reconstruction algorithm, this paper analyzes and compares three non-convex proximity operators for the ℓp-norm function, and numerous simulation results confirmed that the 3DT_PV regularization can gain higher video reconstruction quality than the existing convex regularization and is more competitive than the existing video reconstruction algorithms. [ABSTRACT FROM AUTHOR]