Author Affiliations
Abstract
1 Institute of Modern Optics, Nankai University, Tianjin 300350, China
2 Tianjin Key Laboratory of Optoelectronic Sensor and Sensing Network Technology, Tianjin 300350, China
Light field imaging has shown significance in research fields for its high-temporal-resolution 3D imaging ability. However, in scenes of light field imaging through scattering, such as biological imaging in vivo and imaging in fog, the quality of 3D reconstruction will be severely reduced due to the scattering of the light field information. In this paper, we propose a deep learning-based method of scattering removal of light field imaging. In this method, a neural network, trained by simulation samples that are generated by light field imaging forward models with and without scattering, is utilized to remove the effect of scattering on light fields captured experimentally. With the deblurred light field and the scattering-free forward model, 3D reconstruction with high resolution and high contrast can be realized. We demonstrate the proposed method by using it to realize high-quality 3D reconstruction through a single scattering layer experimentally.
computational imaging light field imaging scattering imaging deep learning Chinese Optics Letters
2022, 20(4): 041101
昆明理工大学理学院激光研究所, 云南 昆明 650500
全息技术的应用使得三维显示发展迅速,给人们带来了无与伦比的视觉体验。全息图像、视频的计算和生成过程会产生庞大的数据,这给传输和存储带来了很大困难。为了满足3D显示的高清晰度和实时性要求,全息数据的压缩显得十分重要。由于全息图像与普通图像相比有着截然不同的特性,因此使用现有压缩技术难以达到最佳效果。介绍了全息压缩主要的技术问题,总结了全息数据压缩常用的度量,具体讨论了各国研究团体所提出的全息图像编码量化处理、变换系数化简、全息图国际标准格式优化和新型标准框架开发等前沿技术,并详述了它们各自的优劣,最后对于未来全息压缩技术研究的主要方向进行了展望。
全息 三维显示 全息编码 图像压缩 量化 变换 国际标准 激光与光电子学进展
2019, 56(24): 240001
交互式全息显示因其独特的真三维(3D)显示能力,能够给用户带来自然、真实的人机交互方式。作为交互式全息显示系统的重要组成部分,手势识别模块影响交互过程是否成功、自然和舒适。在交互式全息显示系统中,手势识别方式主要有基于穿戴设备的识别、基于视觉检测的识别和基于全息3D显示的3D触摸检测。综述了交互式全息显示系统的进展,讨论了3种交互方式的发展情况与优缺点,分析了交互式全息显示系统目前面临的问题和发展前景,为交互式全息显示的进一步研究提供了参考。
图像处理 交互全息 手势识别 视觉检测 3D触摸 激光与光电子学进展
2019, 56(8): 080004
