Army Academy of Armored Forces of Pla

Xingpeng Yan

Xi Wang

Xiaoyu Jiang

Cheng Song

Tao Jing

Xinlei Liu

Zhuo Chen

Weifeng Wang

Junhui Liu

Yan Mao

Yunpeng Liu

Qiang Qu

A method and system for optimizing first-diffraction-order reconstruction of holograms, a device, and a medium are provided. The method includes: acquiring a target image; determining a target image light field according to the target image; calculating a target diffraction field for the target image light field by performing backward propagation by a set distance; constructing a U-Net network model; and inputting the target diffraction field into a trained U-Net network model to acquire an optimized hologram. The trained U-Net network model is obtained by constructing a U-Net network model and training and optimizing the U-Net network model, thereby continuously improving the quality of the zero-diffraction-order reconstructed image of the initial hologram and finally achieving the effect of optimizing the first-diffraction-order reconstructed image of the hologram.

Method and system for optimizing first-diffraction-order reconstruction of holograms, device and medium

A method and system for generating a random graphic training dataset and a hologram is disclosed, which relates to the technical field of image processing. The method for generating a random graphic training dataset includes: randomly generating a plurality of graphic datasets, where each of the graphic datasets includes a square, a circle and an equilateral triangle; for any graphic dataset, performing gradual filling on each graphic in the graphic dataset to obtain a gradual graphic dataset; and performing translation transformation on each graphic in the gradual graphic dataset for a predetermined number of times to obtain random graphics corresponding to the graphic dataset, and determining random graphics corresponding to all graphic datasets as a random graphic training dataset. More comprehensive training data can be provided and a training effect of a model can be improved.

Method and system for generating random graphic training dataset and hologram

An integrated imaging display system is provided. The integrated imaging display system includes: a light source, a converging lens, an illumination microlens array, and a projection microlens array, where illumination microlens units in the illumination microlens array and projection microlens units in the projection microlens array are disposed in a one-to-one correspondence, and the converging lens converts all light emitted by the light source into parallel light and then irradiates the parallel light to the illumination microlens array; a sub-image is provided on a side of each of the illumination microlens units close to the projection microlens unit; all light emitted by each of the illumination microlens units is irradiated on a corresponding projection microlens unit after passing through the sub-image, and the projection microlens array displays an image of the sub-image.

Integrated imaging display system

Growing community of inventors

Beijing, China

Xingpeng Yan