Second-order total generalized variation based model for restoring images with mixed Poisson — Gaussian noise

Introduction: A common problem in image restoration is denoising. Among many noise models, the mixed Poisson-Gaussian model has recently aroused considerable interest. Purpose: Development of a for denoising images corrupted by noise, along with an algorithm solving resulting minimization problem. Results: We proposed new total variation restoring based on second-order generalized variation. In order to solve this problem, efficient alternating used. To illustrate its comparison related methods, experimental results are presented, demonstrating high efficiency approach. Practical relevance: The allows you remove digital images, preserving edges. presented numerical demonstrate competitive features model.