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,也是目前亟需解决的问题。该问题的解决能够克服大气湍流扰动带来的图像降质和提高目标图像的分辨能力,以便于后续的目标特征提取和识别等处理。为了对湍流退化图像进行有效复原,提出了一种基于贝叶斯理论的单帧双重循环盲目去卷积图像复原算法,并对该算法的快速实现进行了研究,最后还进行了稳健性分析与测试。实验结果表明,该算法具有较强的稳定性和抗噪声能力,对于缺乏先验知识的情况尤为适用,可见该算法具有实用价值。
Abstract Restoration of atmospheric turbulence-degraded image is very important in the field of astronomical imaging and astroobservation. It needs to be solved as soon as possible. Solving this problem can deblur the atmospheric turbulencedegraded image and improve the capability of object identification which is good for late stage works such as object feature extraction and recognition. In order to restore the turbulence-degraded image efficiently, a single frame blind deconvolution image restoration algorithm with two circulations based on Bayes theorem is presented. Its fast implementation is studied and some experiments to analyze the stability are carried out. The experimental results show that the algorithm is capable of resisting-noise with robustness; especially it is more suitable for the situation without any prior knowledge. So the algorithm possesses practical value.
出处
《中国图象图形学报》
CSCD
北大核心
2005年第9期1171-1177,共7页
Journal of Image and Graphics
基金
国家自然科学基金重点项目(F60135020)
关键词
大气湍流
图像复原
盲目去卷积
点扩展函数
atmospheric-turbulence, image restoration, blind deconvolution, point spread function（PSF）
