Efficient image texture and structure preservation via a Rapid diffusion function with accelerator

Abstract

This paper proposes a new fast diffusion function with an accelerator coefficient for image restoration task. The suggested algorithm is carried out based on gradient magnitude and suitably filter the image while preserving edge and texture. Several comparisons with recent works is given to show the efficiency of the new conduction function. This performance is demonstrated using quantitative (PSNR, MSSIM) and qualitive metrics (visual evaluation).