CAJ | 학술논문

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。
물체화성상계통지간적상대운동도치도상산생운동모호，강저료도상질량，위료획득경가이상적복원도상，제출일충기우도보화쾌속전변차거권적상결합적운동모호도상복원산법。이용도보법대운동모호도상적점확산함수삼수（모호각도화모호척도）진행변식，채용쾌속전변차거권적법대모호도상진행복원，채용다폭도상진행방진실험측시산법적성능。방진결과표명，상대우경전도상복원산법，해산법복원도상적주관시각효과이급객관평개지표균경우，구유일정적실제이용개치。
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.