项目名称: 基于结构光场照明的单像素成像技术及应用研究
项目编号: No.61475064
项目类型: 面上项目
立项/批准年度: 2015
项目学科: 无线电电子学、电信技术
项目作者: 钟金钢
作者单位: 暨南大学
项目金额: 80万元
中文摘要: 单像素成像,在成像机理上与传统成像有本质的区别,可以突破传统相机的应用局限。本项目针对目前单像素成像技术的成像质量和传统成像技术相比有较大差距这一问题,提出一种有望实现高成像质量的单像素成像技术,并应用到透过散射介质的成像,解决传统相机对散射光成像的局限。为了实现高质量成像,本项目提出采用具有确定数学函数解析表达的结构光场取代赝热光源鬼成像技术中的散斑光场,因此与之对应的图像重建算法也可以采用具有严格解析表达的确定性数学模型。初步实验研究证明了该方案具有可行性。研究内容包括:基于结构光场照明的单像素成像机理和图像重建算法研究、单像素成像实验研究、单像素彩色和三维成像技术研究、压缩感知单像素成像技术研究、像质评价及影响成像质量的相关因素研究、基于结构光场照明的单像素成像技术在透过散射介质成像方面的应用研究。本项目的研究,不论从单像素成像技术本身,还是从其应用方面来讲,都具有重要的科学意义。
中文关键词: 光学成像;单像素成像;结构光场照明;散射光成像;压缩感知
英文摘要: Single-pixel imaging techniques fundamentally differ from conventional imaging techniques in terms of mechanism. The former has been expected to be capable of break through some restrictions of the conventional imaging techniques in applications. With the fact that there exists an obvious gap in quality between the single-pixel imaging and the conventional one, this project aims at researches of a high-quality single-pixel imaging technique. The technique is expected to be used in imaging through scattering media, which overcomes a difficulty of diffuse light imaging by conventional cameras. To improve the quality of image, it is proposed to replace speckle light field used in ghost imaging with analytic structure light field. With the replacement, Mathematical model of image reconstruction algorithm also has strict analytical expression. Preliminary experimental studies have demonstrated the feasibility of this scheme. Researches to carry out in this project are as follows: mechanism and image reconstruction algorithm of structure light field based single-pixel imaging, experiments in single-pixel imaging, full-color and 3-D single-pixel imaging, compressive single-pixel imaging, evaluation of imaging quality and related affective factors, structure light field based single-pixel imaging through scattering media. This project is of great scientific sense for single-pixel imaging techniques and relative applications.
英文关键词: optical imaging;single-pixel imaging;structured illumination;scattered light imaging;Compressed sensing