Image restoration based on adaptive P-Laplace diffusion

The restoration of blurred and noised image was investigated. Since image restoration is an ill-posed problem, a blind restoration algorithm of P-Laplace diffusion based on anisotropic and nonlinear regularizations is proposed. The anisotropic and adaptive regularizations are adopted according to the character of image curvature and gradient. The nonlinear and spatial anisotropic regularization functions are suggested to smooth adaptively in the process of recovering the object image. Finally, the cost functions are minimized by alternate minimization scheme. The nonlinear equations are linear by fixed-point iteration scheme. The images can be recovered quickly. Experiment results show that the proposed algorithm can restore image and can improve image quality effectively.