【摘要】 在DeepaKundur等人提出的NAS-RIF(Nonnegativityandsupportconstraintsrecursiveinversefiltering)盲图像复原算法的基础上,提出改进方法。首先对非均匀背景图像进行背景校正,以扩大原算法的适应范围;接着改进求取支撑域的算法,以提高图像的复原效果;最后对求取梯度值的算法作了改进,以提高原算法的执行效率。由实验结果可看出,改进的NAS-RIF算法比原算法具有更好的图像复原性。更多还原

【Abstract】 Based on NAS-RIF algorithm for blind image restoration proposed by Deepa Kundur, an improved method is proposed in this paper.In this method, background rectification is developed for non-uniform background images to expand the applied scope of the original algorithm.Two algorithms for calculation of support region and image gradient are also improved to obtain higher execution efficiency and image restoration effects.Computer simulations show that this improved NAS-RIF algorithm has better image restoration.更多还原