项目名称: 基于光场的高动态范围超分辨率成像研究
项目编号: No.61271450
项目类型: 面上项目
立项/批准年度: 2013
项目学科: 无线电电子学、电信技术
项目作者: 刘宇驰
作者单位: 中国人民解放军空军预警学院
项目金额: 85万元
中文摘要: 高动态范围与超分辨率成像是多媒体与计算机视觉领域的热点与难点问题,光场成像则是目前国际上研究的前沿课题,将它们进行综合研究带来新的挑战。本项目探索光场采样与重建的基本原理,分析影响成像的根本因素,研究高动态范围和超分辨率的光场成像的理论与技术。(1)首先,探索包含照度在内的光场数据与成像动态范围和分辨率之间的内在联系,应用稀疏理论研究对场景的光场和照度数据同时采样的有效方法。(2)然后,分析光场的成像特性及影响因素,研究适合高动态范围和超分辨率处理的光场成像模型;探索场景中深度与照度信息与光场超分辨率、高动态范围处理之间的联系,应用流形学习理论解析出场景的连续深度图与照度图。(3)最后,将研究问题归为四维光场的重建,并分解为二维的像平面和镜平面的重建。对像平面应用贝叶斯框架下的先验假设从场景的深度图与照度图实现重建;对镜平面应用压缩感知理论建立稀疏字典实现重建;综合二者得到四维光场的重建。
中文关键词: 光场;高动态范围;超分辨率;压缩感知;
英文摘要: High Dynamic Range (HDR) and Super Resolution (SR) are the two basic requirements for high quality digital imaging, and both are hot and difficult issues in multimedia and Computer Vision research area, while Light Field (LF) imaging is the cutting edge topic during international academic. Combining these matters into one task generates new challenges. This project explores the basic theory on sampling and reconstruction of Light Field, analyzes fundamental factors affecting Light Field imaging, and investigates theory and technology of Light Field imaging with High Dynamic Range and Super Resolution. The main research contents include the followings. (1) Firstly, exploring internal relations between Light Field data, including light's radiance here, and imaging's dynamic range and resolution; studying effective sampling method obtaining both Light Field and radiance data simultaneously with sparse theory. (2) Then, analyzing properties and influence factors of Light Field imaging to construct image formation model suitable for High Dynamic Range and Super Resolution processing, while seeking relationship between both scene's depth and radiance information and both High Dynamic Range and Super Resolution process, and using Manifold Learning (ML) theory to recover scene's elaborate depth map and radiance map. (3)
英文关键词: light field;high dynamic range;super resolution;compessive sensing;