大气湍流模糊图像的高分辨力复原算法

High resolution restoration algorithm of atmospheric turbulence blurred image

大气湍流是大气中的一种重要运动形式,它的存在使大气中的动量、热量、水气和污染物的垂直和水平交换作用明显增强,这种干扰作用极大地影响了光电成像系统对于目标的分辨能力。由于湍流影响而退化的图像中同时存在着"幸运区域",用适当的算法可以获得高分辨力复原图像。为了获取包含"幸运区域"的大气湍流模糊图像,在实验室使用人造湍流,并结合短曝光技术拍摄了大气湍流干扰的序列图像。文中应用矩形交叠分块方法,改进了基于偏微分方程(PDE′s)的序列图像复原算法,对获取的序列短曝光图像进行处理。结果表明,经该算法处理得到的合成图像质量有明显的提升,该算法对大气湍流造成的图像质量退化有较好的复原作用。

Atmospheric turbulence is an important form of movement in the atmosphere, which makes the vertical and horizontal′s exchange interaction of momentum, heat, water vapor and pollutants significantly enhanced, and this interference has a great impact on the target resolution of optical imaging system. There also have ＂lucky regions＂ in the degraded images because of turbulence, so the appropriate algorithm can obtain high resolution restored image. To obtain the atmospheric turbulence blurred images which contains ＂lucky regions＂, the artificial turbulence was used in the laboratory and combined with the short-exposure technique to take a serial of atmospheric turbulence blurred images. The rectangle overlapped partition method was used and the image restoration algorithm was improved based on nonlinear partial-derivative equations （PDE′s）, to process the obtained short exposure serial images. The results show that, the image quality of the composite image is improved obviously, this algorithm has great restoration effect on images′ quality degradation caused by atmospheric turbulence.