摘要
大气湍流退化图像的复原在航天成像、天文观测等领域具有重要的地位,也是目前急需解决的问题。该问题的解决能够克服大气湍流扰动带来的图像降晰和提高目标图像的分辨能力,以便后续的目标特征提取和识别等处理。文章提出将大气湍流的光学传递函数应用在迭代盲目反卷积图像复原算法上,使图像达到更好的复原效果。研究表明,此复原方法可以更有效地应用于大气湍流退化图像的复原。
Restoration of atmospheric turbulence degraded image is very important in the field of astronomical imaging and astro-observation. Based on the restoration, the atmospheric turbulence degraded image can be deblured and the capability of object identification can be improved, which is helpful for follow-up procedures such as object feature extraction and recognition. In this paper, the optical transfer function（OTF） of the atmospheric turbulence is used in the algorithm for iterative blind deconvolution image restoration. It can make better results of image restoration. Studies show that the presented method is effective and can be applied to restoring atmospheric turbulence degraded image.
出处
《合肥工业大学学报（自然科学版）》
CAS
CSCD
北大核心
2011年第1期80-82,127,共4页
Journal of Hefei University of Technology：Natural Science
基金
国家自然科学基金资助项目(60705015)
关键词
大气湍流
图像复原
光学传递函数
点扩散函数
迭代盲目反卷积
atmospheric turbulence
image restoration
optical transfer function（OTF） point spread function（PSF）
iterative blind deconvolution
