红外与毫米波学报2017，Vol.36Issue(3)：376-382,7.DOI:10.11972/j.issn.1001-9014.2017.03.021
基于噪声分析和稀疏正则化的图像盲复原方法
A blind restoration method for blurry images based on noise analysis and sparsity regularization
摘要
Abstract
In the course of maritime search and rescue,infrared image captured by helicopter airborne infrared camera has a poor image quality because of the helicopter vibration,air turbulence,high speed flight and infrared camera sweeping.According to the imaging characteristics of the helicopter airborne infrared camera,a blind restoration method for blurry images based on noise analysis and sparsity regularization was proposed.Firstly,noise distribution in the imaging process is analyzed and the noise is pre-processed.Then,according to the sparse representation theory,sparse prior information of the edges in the images is used to guide the restoration of PSF.After that,we can obtain the target image through non-blind method.The target image will be used in the next iteration.The iteration will not end until a clear image is obtained.Experiments were performed both on simulated blurry images and real blurry images.Experimental results show that our method can effectively improve the image quality.Compared with other methods,our method has a better effect on real blurry images.关键词
海事搜救/红外图像/噪声分析/稀疏正则化/盲复原Key words
maritime search and rescue, infrared image/noise analysis, sparsity regularization, blind restoration分类
信息技术与安全科学引用本文复制引用
康致力,安博文,潘胜达,赵明..基于噪声分析和稀疏正则化的图像盲复原方法[J].红外与毫米波学报,2017,36(3):376-382,7.基金项目
国家自然科学基金(61171126) （61171126）
上海市重点支撑项目(12250501500)Supported by National Natural Science Foundation of China (61171126) （12250501500）
Key project of Shanghai (12250501500) （12250501500）
