Xinlei Liu

Title: Innovations of Xinlei Liu in Holography

Introduction

Xinlei Liu is a prominent inventor based in Beijing, China. He has made significant contributions to the field of image processing, particularly in holography. With a total of 2 patents, Liu's work focuses on optimizing holographic reconstruction and generating training datasets for image processing models.

Latest Patents

Liu's latest patents include a method and system for optimizing first-diffraction-order reconstruction of holograms. This innovative method involves acquiring a target image, determining its light field, and calculating a target diffraction field through backward propagation. By constructing and training a U-Net network model, Liu's approach enhances the quality of the reconstructed images, ultimately optimizing the first-diffraction-order hologram. Another notable patent is a method and system for generating a random graphic training dataset and hologram. This method involves creating various graphic datasets and performing transformations to improve the training effect of image processing models.

Career Highlights

Xinlei Liu is affiliated with the Army Academy of Armored Forces of PLA, where he applies his expertise in image processing and holography. His work has been instrumental in advancing the technical capabilities of his institution.

Collaborations

Liu collaborates with notable colleagues, including Xingpeng Yan and Xi Wang, contributing to a dynamic research environment that fosters innovation.

Conclusion

Xinlei Liu's contributions to holography and image processing demonstrate his commitment to advancing technology in these fields. His innovative patents reflect a deep understanding of complex image reconstruction techniques and their applications.