基于改进同态滤波的无人机影像清晰化

Clarity of UAV Image Using Improved Homomorphic Filtering

受烟、雾等恶劣天气影响,无人机影像质量严重降低,影响后续影像的利用。基于同态滤波原理,该文设计新的滤波函数,分别对低频分量区域的烟雾和高频区域的景物进行不同程度上的抑制和增强处理,从而达到细节增强,影像清晰的目的。实验结果表明,该文算法不仅具有较好的色彩保真能力与清晰效果,而且算法效率也进一步提高。

Affected by the bad weather,such as smoke,fog and the like,the quality of UAV image is seriously reduced,which affects the subsequent use.In this paper,based on the principle of the homomorphic filter,a new filter function is designed to process the low frequency components of regional smog and the high frequency region of different degree of scenery inhibition and enhancement respectively,so as to achieve the purpose of clear image detail enhancement.It is proposed to achieve UAV image clarity.Experimental results show that proposed algorithm has better color fidelity and clarity,and improves the efficiency of the algorithm.