基于双重循环交替迭代的湍流退化图像复原

Restoration of Turbulence-Degraded Images Based on Double Circulations and Alternant Iterations

湍流退化图像复原是一个富有挑战性的世界性难题,在航天光电成像领域具有广泛的应用前景。为了从少数几帧湍流退化图像中将目标图像有效地恢复出来,提出一种新颖的基于双重循环交替迭代的湍流退化图像复原算法,建立了基于内外循环交替求解目标图像及各帧点扩展函数的迭代关系。在微机上进行了一些复原实验,实验结果表明该算法能用少数几帧图像获取目标图像和点扩展函数的最佳联合估计,证实了算法的可行性和实用价值。

The restoration of turbulence-degraded images is a more difficult and challenging problem in the world,having wide applications in the fields of optical-electric imaging.A new restoration algorithm based on double circulations and alternant iterations is proposed to restore the object image effectively from a few frames of turbulence-degraded images.Based on the double circulations,the iterative relations to estimate the turbulence's point spread functions and object image alternately are derived.The restoration experiments have been made on PC,showing that the proposed algorithm can obtain the optimized estimations of the object and the point spread functions,with the feasibility and practicality of the proposed algorithm being convinced.