Laser active imaging systems are usually used in important region surveillance and dangerous target identification. However, the imaging system is easy to be disturbed and this leads to the distortion of the images. The positions of the target, imaging system, interference and the laser power change momentarily, so the dazzling effect is different in every frame. Therefore, how to evaluate the influence of the laser on imaging systems must be better understood. A new no-reference image quality assessment algorithm based on the dynamic features of consistent multi-frame images is proposed, which is called feature-point dynamic (FPD). The feature-point matching correlation and area diversification of one frame are calculated in the target region. The difference of correlation, area distribution, structure, frequency and salience of multi-frame images are also compared in the target region. The normalized results are obtained via product of these factors above. The luminance imaging experiment is performed for the targets by utilizing the laser active imaging system. The disturbed images of different disturbing powers and different spot positions are obtained. The proposed FPD algorithm is used to evaluate the laser-dazzling images, and the results show that the FPD gives a more reasonable evaluation for multi-frame laser-dazzling images in the period of time. The evaluation results reflect the invalidation of the target identification algorithm objectively.