Researchers from Tianjin University, the Beijing Institute of Technology, Rowan University, the University of Missouri, Qingdao University, Shijiazhuang Tiedao University, and Beijing Jiaotong University developed an acoustic metasurface-based holography technique that uses a deep learning algorithm to generate and iteratively improve a hologram of the Mona Lisa. Metasurfaces, or two-dimensional materials made of an array of tiny antenna-like components, can help a lot with the holography process. The team used a deep neural network-based algorithm to customize the antenna-like structures within their metasurface.
By iteratively reducing inconsistencies between the original and holographic image, they tweaked the metasurface and created a high-quality hologram. The holographic method successfully reconstructed the Mona Lisa, and, in even more detail, her left eye. While the Mona Lisa hologram is two-dimensional, the technique can be extended to create three-dimensional images as well. Researchers believe their technique could revolutionize the field of holography. They plan to explore ways to generalize it, make it compatible with 3D printing, and reduce training time.
More information:
https://publishing.aip.org/publications/latest-content/the-making-of-a-mona-lisa-hologram/