Adaptive bidirectional diffusion for image restoration

作     者：FU ShuJun 1,2 & ZHANG CaiMing 1 1 School of Computer Science and Technology, Shandong University, Jinan 250101, China 2 School of Mathematics, Shandong University, Jinan 250100, China 

作者机构：School of Computer Science and Technology Shandong University Jinan China School of Mathematics Shandong University Jinan China 

出 版 物：《Science China(Information Sciences)》 (中国科学:信息科学(英文版))

年 卷 期：2010年第53卷第12期

页      面：2452-2460页

核心收录：

学科分类：08[工学] 080203[工学-机械设计及理论] 0802[工学-机械工程] 

基　　金：supported by the National Natural Science Foundation of China (Grant Nos. 60933008, 61070094,61020106001) the China Postdoctoral Science Foundation (Grant No. 20090460089) 

主　　题：image restoration bidirectional diffusion inverse diffusion anisotropic diffusion stabilizing scheme spatially varying constraint 

摘      要：A large number of applications in image processing and computer vision depend on image quality. In this paper, combining the forward diffusion with the backward diffusion by different weights, we present an adaptive bidirectional diffusion method for image denoising and deblurring simultaneously. Further, we introduce a gradient factor into the data fidelity term, which forms a spatially varying constraint and allows a better restoration of image edges and fine details. In order to obtain a stable solution, we develop a numerically stable scheme and give its theoretical analysis. Finally, we show advantages of this method in deblurring edges, denoising and restoring fine details of image compared with other related methods in experiments.