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基于图像修复技术的抗核辐射图像恢复方法
引用本文:杨斌,赵立宏,邓骞.基于图像修复技术的抗核辐射图像恢复方法[J].南华大学学报(自然科学版),2016,30(4):56-61.
作者姓名:杨斌  赵立宏  邓骞
作者单位:南华大学 电气工程学院,湖南 衡阳 421001,南华大学 电气工程学院,湖南 衡阳 421001,南华大学 机械工程学院,湖南 衡阳 421001
基金项目:国家自然科学基金(61102108);湖南省教育厅科学研究项目(YB2013B039;16B225);湖南省自然科学基金(2016JJ3106);南华大学青年英才支持计划、南华大学重点学科基金资助项目(NHXK04)
摘    要:强辐射环境下数码成像设备由于受到高能粒子射线的影响,采集的视频或图像信噪比非常低,严重影响了其在辐射环境下的应用.为了去除视频或图像中的噪声,减少辐射粒子对成像设备的影响,提出了一种基于修复技术的新型强辐射图像去噪技术.首先在分析强辐射环境下成像设备受干扰的机理基础上检测图像的强干扰噪声;然后将图像噪声区域看成待修复区域,利用图像修复技术进行噪声消除;最后利用基于非下采样轮廓波变换的去噪方法对修复后的图像进行后处理.实验结果及分析表明提出的方法算法效率高、降噪效果显著,能够很好地去除强度大、分布密集的噪声,有效提高了数码成像设备在强辐射环境下的工作性能.

关 键 词:核辐射  图像恢复  噪声检测  图像去噪
收稿时间:2016/8/31 0:00:00

A Novel Anti-nuclear Radiation Image Restoration AlgorithmBased on Inpainting Technology
YANG Bin,ZHAO Li-hong and DENG Qian.A Novel Anti-nuclear Radiation Image Restoration AlgorithmBased on Inpainting Technology[J].Journal of Nanhua University:Science and Technology,2016,30(4):56-61.
Authors:YANG Bin  ZHAO Li-hong and DENG Qian
Institution:School of Electrical Engineering,University of South China,Hengyang,Hunan 421001,China,School of Electrical Engineering,University of South China,Hengyang,Hunan 421001,China and School of Mechanical Engineering,University of South China,Hengyang,Hunan 421001,China
Abstract:The signal noise ratio of videos and images with digital imaging sensors in strong radiation environment is very low since the digital imaging sensors would be damaged in strong radiation environment due to the impact of high-energy particles.The quality reduction of image constraints various applications of imaging sensors.In order to remove the noise produced due to nuclear radiation,a novel anti-nuclear radiation image restoration algorithm based on inpainting technology is proposed.Firstly,the damaged regions are detected by analyzing the working mechanism of digital imaging sensors in radiation environment;Then,the damaged regions are repaired with inpainting technology.Finally,the post-processing based on nonsubsampled contourlet transform of denoising method is performed to improve the visual quality of the restorated image.The expermental results demonstrate that the proposed method can remove the damaged regions in the source image effectively and further enhance the performances of the camera in strong radiation environment.
Keywords:nuclear radiation  image restoration  noise detection  image denoising
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