摘要
物体和成像系统之间的相对运动导致图像产生运动模糊,降低了图像质量,为了获得更加理想的复原图像,提出一种基于倒谱和快速全变差去卷积相结合的运动模糊图像复原算法。利用倒谱法对运动模糊图像的点扩散函数参数(模糊角度和模糊尺度)进行辩识,采用快速全变差去卷积法对模糊图像进行复原,采用多幅图像进行仿真实验测试算法的性能。仿真结果表明,相对于经典图像复原算法,该算法复原图像的主观视觉效果以及客观评价指标均更优,具有一定的实际利用价值。
The motion blur generated by the relative motion during the object and the imaging system is one of the most common reasons for image degradation, in order to obtain good restoration results, a novel motion blur image restoration algorithm is proposed based on cepstrum and fast total variation de-convolution in this paper. The motion blur parameters （blur orientation and length）of point spread function are estimated based on the cepstrum method, and then the motion blur image is restored by fast total variation de-convolution method, the simulation experiments are carried out to test the performance of algorithm on many images. The results show that, compared with classical image restoration algorithms, the proposed algorithm can obtain better restoration affects, and has a certain practical reference value.
出处
《计算机工程与应用》
CSCD
北大核心
2015年第8期174-177,199,共5页
Computer Engineering and Applications
基金
福建省教育厅A类科技项目(No.JA1310)
关键词
运动模糊
图像复原
点扩散函数
倒谱法
全变差算法
motion blur
image restoration
point spread function
cepstrum method
total variation
