采用改进的退化模型恢复湍流降质图像  

Improved Model for Restoring Turbulence Degraded Image

作　　者：荣健[1] 申金娥[1] 丁学科[1] 李芳[1] 邝爱华[1] 刘文鑫[1] 

机构地区：[1]电子科技大学物理电子学院

出　　处：《电子科技大学学报》2008年第6期890-892,950,共4页Journal of University of Electronic Science and Technology of China

基　　金：国家自然科学基金(60572079)

摘　　要：采用考虑湍流内外尺度影响的退化模型来恢复大气湍流降质图像,运用包含了湍流内外尺度影响的波结构函数、折射率谱以及薄透镜成像的退化函数导出了新的退化模型。相对由Kolmogorov谱推导出的模型,该模型引入了更完整的先验约束条件,更接近大气湍流的物理特性。针对飞机目标湍流退化图像,利用约束最小二乘滤波的方法对该退化模型进行了复原验证,模拟结果表明了该模型比较理想,恢复效果较好。A new degradation model includling the influence of outer-and inner-scale of turbulence is presented to restore atmospheric turbulence degradation images. This new model is derived from the wave structure function and refractive index profiles considering turbulence internal and external scale and thin lens imaging degradation function. Compared with the model derived from Kolmogorov spectrum, the new model introduces more complete transcendent constraints and is more similar to the physical characteristics of atmospheric turbulence. Aiming at the turbulent degraded images comprising aircraft targets, constrained least squares filtering method is used to test the recovery power of the new degradation model. Simulation results show the effectiveness of the new model.

关 键 词：约束最小二乘滤波 降质图像 大气湍流退化模型 湍流内外尺度 恢复图像 

分 类 号：TP317.4[自动化与计算机技术—计算机软件与理论]