基于编码光圈的光场压缩采集与鲁棒重建的关键技术研究

项目名称： 基于编码光圈的光场压缩采集与鲁棒重建的关键技术研究

项目编号： No.61305026

项目类型： 青年科学基金项目

立项/批准年度： 2014

项目学科： 自动化技术、计算机技术

项目作者： 任坤

作者单位： 北京工业大学

项目金额： 26万元

中文摘要： 高质高效的光场采集与重构是计算机视觉与计算摄像学领域的研究热点和挑战性难题，该方面的突破对研究新型成像机制具有重要意义。本项目拟以压缩感知理论和计算摄像理论为基础，探索光场采集效率低、噪声大、衍射效应明显的根本原因，提出光场压缩采样与重构方法，构建光场采集系统的波动光传播模型，实现信号相关的噪声估计与抑制，并在以上理论及关键技术研究的基础上研制编码光圈式光场采集系统。具体的研究内容包括：在统计分析光场数据的冗余性的基础上，提出基于时间复用空间编码的压缩采样和重构方法；运用魏格纳分布函数研究光场采集系统的光传播模型，研究光场采集过程中衍射效应的产生机理和消除方法；构建信号相关的采集噪声统计模型，研究场景相关的噪声估计与抑制方法；搭建编码光圈式高效光场采集原型系统，验证算法的有效性，并结合物理实现及光学元器件工艺限制进一步修正理论模型，提高光场采集系统性能与重构精度。

中文关键词： 编码光圈；光场；压缩感知；计算摄像；信号相关噪声

英文摘要： Light field acquisition and reconstruction with high quality and efficiency is one of hot research topics and chanllenge problems in computational photography and computer vision. The advances in this technology have important signifiance in new imaging mechanism research. In this project proposal compressive sensing theroy and computational photography theroy based primary reasons of low efficiency, high noise, and distinct diffraction effect in light acquisition are explored, a light compressive sampling and reconstruction method is presented, the wave optics propagation mode of light acquisition system is constructed, signal related noise estimation and suppression is carried out, and based on above theory and key technology research a coded aperture based light acquisition system is developed. The detailed research content is as follows: based on the statistical analysis of the light field data redundancy, to propose a method of compressive sampling and reconstruction using time-multiplexed space compression coding aperture, applied the Wigner distribution function to analysis light propagation model of the light field acquisition system, and to study the mechanism and elimination method of diffraction effect in light field acquisition process, to build a statistical model of signal-related acquisition nois

英文关键词： Coded Aperture；Light Field；Compressive Sensing；Computational Photography；Signal-dependent noise