基于小波变换的图像融合增强算法

Image fusion enhancement algorithm based on wavelet transform

针对当前高速摄影系统不能保证采集的高帧频图像中所有目标物体聚焦清晰的特点,提出了一种基于小波变换的图像融合算法,对快速小波变换后得到的低频系数与高频系数采用一种改进型的融合规则进行算法仿真实验,并与传统的图像融合规则对比分析。

In this paper, an image fusion algorithm based on wavelet transform is proposed to solve the problem that all the target objects in the high frame rate images taken by the current high-speed photography system can not be guaranteed to be clear enough. An improved fusion rule is adopted to perform the simulation experiment for the low-frequency coefficients and high-frequency coefficients obtained by fast wavelet transform, and compared with the traditional image fusion rules. The experiment results show that the improved fusion role has better applicability and application value.