An Improved FoE Model for Image Deblurring

摘要

Image restoration from noisy and blurred image is one of the important tasks in image processing and computer vision systems. In this paper, an improved Fields of Experts model for deconvolution of isotropic Gaussian blur is developed, where edges are preserved in deconvolution by introducing local prior information. The edges with different local background in a blur image are retained since local prior information is adaptively estimated. Experiments indicate that the proposed approach is capable of producing highly accurate solutions and preserving more edge and object boundaries than many other algorithms.