基于光纹特征的激光主动照明图像去模糊  

Image deblurring for laser active illumination based on light vein features

作　　者：王灿进 石宁宁[2] 孙涛[1] 王锐[1] 

机构地区：[1]中国科学院长春光学精密机械与物理研究所激光与物质相互作用国家重点实验室,吉林长春130033 [2]北京航天自动控制研究所宇航智能控制国家重点实验室,北京100039

出　　处：《光学精密工程》2016年第5期1159-1167,共9页Optics and Precision Engineering

基　　金：长春市科技计划资助项目(No.2013270)

摘　　要：受光学系统离焦、大气扰动、平台振动的影响,激光主动照明系统捕获的图像容易被模糊,而传统的去模糊方法难以取得良好的复原效果,故本文提出基于光纹特征的盲解卷积复原方法来实现图像去模糊。首先将模糊图像降采样,建立尺度金字塔,在尺度空间查找光纹特征图像块。随后基于激光主动照明图像饱和像素较多的特点,提出新的图像退化模型。最后针对模糊核估计、光纹参数更新、清晰图像复原3个步骤,提出适用的能量函数,迭代复原出无噪清晰图像。搭建了主动照明系统,在捕获的激光主动照明图像上进行了实验,并与现有方法进行了对比。结果表明:本文方法不仅能够复原出清晰图像,而且能有效抑制振铃效应,其客观评价指标峰值信噪比(PSNR)优于已有的其他算法。The images captured by a laser active illumination system are easily blurred by optical system defocus,atmospheric disturbance and platform vibration,and traditional deblurring methods can not achieve good image restoration.Therefore,this paper proposes a blind deconvolution restoration method based on light vein features to implement the image deblurring.Firstly,the blurred images were down-sampled,a scale pyramid was established,and the light vein patches were searched along a scale space.Then,according to the laser illumination imaging characterized by more saturated pixels,a new nonlinear image degradation model was proposed.Finally,to implement the three steps,blurred kernel estimation,light vein patch renewal and the image restoration,the proper energy function was proposed and the latent image without noise was iterated and recovered.A laser active illumination system was established and the experiments were performed on the images captured by the system and compared with state-of-art deblurred methods,The experiment results indicate that the proposed method not only obtains more clear images,but also availably suppresses ringingartifacts,and its Peak Signal to Noise Ratio（PSNR）is superior to that of other algorithms.

关 键 词：激光主动照明 图像去模糊 光纹特征 能量函数 振铃效应 

分 类 号：TN957.52[电子电信—信号与信息处理] TP391[电子电信—信息与通信工程]