一种改进的受限制自适应图像复原算法  

Improved Constrained Self-adaptive Image Restoration Algorithm

作　　者：来彦栋[1] 陈奋[1] 刘晓云[1] 

机构地区：[1]电子科技大学自动化工程学院,成都611731

出　　处：《计算机工程》2010年第19期213-215,218,共4页Computer Engineering

基　　金：国家自然科学基金-青年科学基金资助项目(40801171)

摘　　要：利用Wiener滤波或约束最小二乘方法复原的图像在图像灰度值发生跳变处会出现振铃式的波纹。受限制自适应图像复原算法对复原和平滑加以局部的适应性控制,有效地克服振铃波纹。在受限制自适应图像复原算法的基础上,通过提高加权数组的精细程度,改善复原的自适应控制能力,采用Neumann边界条件消除边界截断引起的寄生波纹。实验结果表明改进算法的复原效果较优。The restored image which takes advantage of Wiener filter or least squares algorithm occur ringing waves in the place where the gray scale value of image is jumping.The constrained self-adaptive image restoration algorithm effectively overcomes the ringing waves through local adaptive control of restoration and smoothness.On the basis of the constrained self-adaptive image restoration algorithm,the ability of self-adaptive control of restoration is improved by increasing the precision of the weighted array,and the artifacts occurred by boundary truncation are removed by adopting Neumann boundary condition.Experimental results show that the improved algorithm gains better recovery effect.

关 键 词：自适应图像复原 SOBEL算子 NEUMANN边界条件 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]