Multi-Target Adaptive Focusing Algorithm Based on Image Phase Difference

In the field of image detection, when focusing on multiple targets of interest with different depths, in addition to optimizing the focusing speed of a single target, a comprehensive consideration of the interrelationships among multiple targets can further enhance the overall focusing efficiency. In this context, this paper presents a multi-target adaptive focusing algorithm based on image phase difference. The algorithm improves the accuracy of phase difference calculation through multi-scale image matching and adaptively adjusts the defocus estimation model based on the phase difference. Additionally, the algorithm orders multiple target regions by defocus estimation to reduce the overall focus time and combines the defocus estimate with image clarity to achieve precise focus on each region. The experimental results show that the method not only effectively improves the accuracy of defocus estimation and does not need to rely on lens calibration, but also significantly improves the speed and efficiency of multi-target focusing compared with traditional focusing algorithms.