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

作　　者：康致力 安博文[1] 潘胜达[1] 赵明[1] 

机构地区：[1]上海海事大学信息工程学院,上海201306

出　　处：《红外与毫米波学报》2017年第3期376-382,共7页Journal of Infrared and Millimeter Waves

基　　金：国家自然科学基金(61171126);上海市重点支撑项目(12250501500)~~

摘　　要：在海事搜救过程中,机载红外相机拍摄的红外图像由于直升机振动、气流扰动、高速飞行以及红外相机摆扫等因素,严重影响图像质量.根据直升机载红外相机成像特点,提出了一种基于噪声分析和稀疏正则化的图像盲复原方法.该方法首先分析了成像过程中的噪声分布,并对噪声进行预处理,再根据稀疏表达理论,用图像边缘的稀疏先验信息指导点扩散函数复原,接着通过非盲复原方法得到目标图像,将目标图像作为下一次迭代的输入图像,如此循环迭代得到清晰图像.最后,对仿真模糊图像和实拍模糊图像进行了复原实验.实验结果表明这种方法能有效改善图像质量,并且在处理实拍运动模糊图像时,相比其他复原方法效果更好.In the course of maritime search and rescue, infrared image captured by helicopter airborne in- frared 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 regu- larization 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 ed- ges 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 quali- ty. 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 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]