小波变换在大景深成像系统图像复原中的应用  

Wavelet transform applied in restoring image of extended depth of field imaging system

作　　者：冯国平[1] 刘兴春[1] 贾伟[1] 王奇[1] 

机构地区：[1]北京航空航天大学电子信息工程学院,北京100191

出　　处：《红外与激光工程》2010年第6期1173-1177,共5页Infrared and Laser Engineering

基　　金：国家自然科学基金资助项目(10805073)

摘　　要：为消除大景深成像系统引起的图像模糊问题,提出综合维纳滤波和小波变换进行图像复原和增强的一种新方法。维纳滤波不能对大景深模糊图像的高频分量进行较好的复原,利用小波变换算法进一步对维纳滤波复原的结果进行高频增强,以使模糊图像在高低频均获得理想的复原结果。仿真实验首先对标准样本进行大景深模糊,然后对模糊图像先采用维纳滤波算法进行复原,再进一步采用小波变换算法增强复原图像高低频对比度。结果表明:采用了小波变换算法后大景深模糊图像的复原效果得到了有效提高,图像的峰值信噪比提高了近50%。A new algorithm integrating Wiener filtering algorithm and wavelet transform to restore and enhance image was presented to eliminate the problem of image blurring caused by extended depth of field（EDF） in imaging system.Since Wiener filtering algorithm can not perform well in high-frequency of image restoration in the system model,wavelet transform algorithm was used to enhance the restored image in the high-frequency,in order to obtain better results both in the low-frenquency and high-frenquency of the blurring images.During the simulation,standard sample was blurred by IR imaging system with EDF first,and then blurred image was restored by using Wiener filter algorithm,finally wavelet transform algorithm was applied to enhance high-low level frequency contrast.The simulation results demonstrate that restoration effectiveness of imaging system with EDF is enhanced when wavelet transform algorithm is applied,and peak SNR of the image is increased by 50%.

关 键 词：小波变换 大景深 波前编码 图像复原 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]