Image deblurring using a projective inertial parallel subgradient extragradient-line algorithm of variational inequality problems

In this paper, we introduce projective inertial parallel subgradient extragradient-line algorithm for solving variational inequalites of L-Lipschitz continuous and monotone mappings which L is unknown. We prove a strong convergence result under some mild conditions in Hilbert space. also present numerical examples Euclidean space R3 compared with Parallel-Viscosity-Type Subgradient Extragradient-Line Method. Finally, deblur the Grey RGB images from common types blur matrixes Gaussian blur, Out focus Motion using our proposed show better efficeincy when number large.