A5011738272- Digital Holography and Microscopy
- Advanced Optical Imaging Technologies
- Advanced Vision and Imaging
- Optical measurement and interference techniques
- Optical Coherence Tomography Applications
- Virtual Reality Applications and Impacts
- Image Processing Techniques and Applications
Sejong University
2022-2024
In this study, we offer a new type of hyper-realistic holographic display system that simultaneously displays both 3D images and AR images. The proposed ultra-realistic combines 360-degree computer generated (CGH) content to be reconstructed from an SLM (2D image) spatially projected microdisplay, allowing users watch clearly blended movie without crosstalk. To validate the display's image characteristics with varied depths, ruler-based spatial depth measurement method was used show...
Abstract Refractive index stands as an inherent characteristic of a material, allowing non-invasive exploration the three-dimensional (3D) interior material. Certain materials with different refractive indices produce birefringence phenomenon in which incident light is split into two polarization components when it passes through materials. Representative birefringent appear calcite crystals, liquid crystals (LCs), biological tissues, silk fibers, polymer films, etc. If internal 3D shape...
In this paper, we propose a novel model to extract highly precise depth maps from missing viewpoints, especially for generating holographic 3D content. These are essential elements phase extraction, which is required the synthesis of computer-generated holograms (CGHs). The proposed model, called dense depth, estimates through feature combining up-sampling. We designed and prepared total 9832 multi-view images with resolutions 640 × 360. evaluated our by comparing estimated their ground...
A regular photographic picture provides 2-dimensional information of the object by recording only intensity light, whereas a CGH 3-dimensional about object, including distance information, light interference. is becoming possible to display high-resolution images due advance in technology. However, requires great deal time generate image because it calculates large volumes such as reflected from an and To solve this problem, we propose model that predicts interference generates...
We propose a novel method to represent the inside and outside structures of living biological sample with label-free process using deep learning. The proposed approach combines 3D refractive index characteristics learning method, making new contribution bioimaging fields. In particular, model produces numerical indexes, which can not only provide important biometric information for medical field but also analyze statistical elements directly from output. acquired data set consisting...