A game theory approach for joint blind deconvolution and inpainting

In this paper we propose a new mathematical model for joint Blind Deconvolution and Inpainting. The main objective is the treatment of blurred images with missing parts, through game theory framework, in particular, Nash game, define two players: Player 1 handles image intensity while 2, operates on blur kernel. engage until equilibrium reached. Finally, provide some numerical examples: compare efficiency our proposed approach to other existing methods literature that deals Inpainting separately.