一种无参考自适应的图像运动模糊修复算法

A Optimized Blur Remove Method For Images With Parameters Selection based On No-reference Quality Image Assessment

论文研究镜头运动产生图像模糊的数学建模问题,并探讨运动模糊的自适应恢复的方法。提出一种结合Weiner滤波器和遗传算法的自适应模糊去除算法。选择无参考的图像质量评价方法,对恢复图像的质量在线评价,并结合遗传算法自适应的优化处理参数,实现图像处理效果的优化。实验表明,本研究可以将以往的同类方法进行增强,提高修复图像的可辨识程度。

This paper researched the mathematical modeling problem of image blurring caused by lens motion is studied,and discussed the adaptive restoration method of motion blurring.An adaptive fuzzy removal algorithm based on Weiner filter and genetic algorithm is proposed.An image quality evaluation method without reference was selected to evaluate the quality of restored images online,and the optimized processing parameters of genetic algorithm were combined to optimize the image processing effect.The results show that this study can enhance the previous similar methods and improve the recognition degree of the restored image.