计算机应用研究2012，Vol.29Issue(4)：1584-1587,4.DOI:10.3969/j.issn.1001-3695.2012.04.108
基于变量分离和加权最小二乘法的图像复原
Image restoration based on variable splitting and weighted least squares
摘要
Abstract
For improving and accelerating image restoration,this paper proposed a novel algorithm. Based on the variable splitting technology,it established an objective function with a new constraint for image restoration problem, To obtain the glo-bal optimal solution of image restoration,it used the alternating nunimization method to decompose the optimization of the ob-jective function into two alternately iterative procedures. In the procedure of calculating the new variable obtained by splitting,it introduced the iteratively reweighted least squares method to solve the non-differentiable LI norm. The experimenLal results demonstrate the efficiency of the proposed algorithm, and compared with some state-of-the-art algorithms, it shows better per-formances on the restored results and speed.关键词
图像复原/约束优化问题/变量分离/交替最小化方法/迭代重加权最小二乘法Key words
image restoration/ constrained optimization problems/ variable splitting/ altemating minimization method/ itera-tively reweighted least squares分类
信息技术与安全科学引用本文复制引用
肖宿,韩国强..基于变量分离和加权最小二乘法的图像复原[J].计算机应用研究,2012,29(4):1584-1587,4.基金项目
国家自然科学基金资助项目(61070090) （61070090）
国家自然科学基金青年科学基金资助项目(61102117) （61102117）
淮北师范大学校青年科研项目(700442) （700442）
