Image Restoration and Enhancement Based on Tunable Forward-and-Backward Diffusion

This paper introduced a novel tunable forward-and-backward (TFAB) diffusion approach for edge enhancement and image restoration. In this algorithm, an alternative FAB diffusion process is presented where it is possible to better modulate diffusion behavior and it shows better algorithm behavior. In addition, the algorithm can do away with the necessity to laboriously determine the value of the gradient threshold. We believe the TFAB diffusion to be an adaptive mechanism for image restoration and enhancement. Qualitative experiments and quantitative analyses show significant improvements when the TFAB diffusion algorithm is employed compared to the existing anisotropic diffusion and the previous FAB diffusion algorithms for enhancing edge features and improving image contrast.