光电子·激光2024,Vol.35Issue(4) :370-378.DOI:10.16136/j.joel.2024.04.0838

基于RGBD数据与深度权重的压缩光场显示

Compressive light field display based on RGBD data and depth weight

陈致豪 楼益民 胡娟梅 吴锋民
光电子·激光2024,Vol.35Issue(4) :370-378.DOI:10.16136/j.joel.2024.04.0838

基于RGBD数据与深度权重的压缩光场显示

Compressive light field display based on RGBD data and depth weight

陈致豪 1楼益民 1胡娟梅 1吴锋民1
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作者信息

  • 1. 浙江理工大学物理系浙江省光场调控技术重点实验室,浙江杭州 310018
  • 折叠

摘要

使用多层空间光调制器的压缩光场(compressive light field,CLF)显示技术具有空间带宽利用率高、图像分辨率好等优势,是一种很有前景的光场显示技术.传统的方法将光场分解视为超定问题并使用优化算法求解.随着重建光场的分辨率、深度、视角等性能参数的提升,优化算法的计算效率低、内存消耗大的缺陷被放大,难以实现快速计算.为此,本文提出了一种新型CLF分解算法,该算法将原始光场分解为物点进行存储,仅占用少量内存;利用深度权重和加权平均代替了优化算法,大幅提高了运算效率.在同等条件下,所提出的算法占用内存仅是传统方法的38.8%,计算时间缩短了 93.7%,图像质量提高约1 dB.最后通过仿真和实验两种方式对比了该方法和传统方法的显示效果,验证了算法的有效性.

Abstract

The compressive light field(CLF)display using multi-layer spatial light modulators has the advantages of high space bandwidth utilization rate and good image resolution.It is a promising light field display technology.The traditional method regards the light field decomposition as an overdetermined problem and uses the optimization algorithm to solve it.However,with the improvement of the resolution,depth,viewing angle,and other parameters of the reconstructed light field,the disadvantages of the optimization algorithms,such as low computational efficiency and large memory consumption,are magnified.It is difficult to realize fast computation.To address the issues,this paper proposes a new CLF decomposition algorithm.It decomposes the original light field into object points for storage which only occupies a small amount of memory;It uses depth weight and weighted average algorithm to replace the optimization algorithm of the CLF,which dramatically improves the calculation efficiency.Under the same conditions,the memory occupied by the proposed algorithm is only 38.8%of that of the traditional method,the calculation time is reduced by 93.7%,and the image quality is improved by about 1 dB.At last,the display effects of this method and the traditional method are compared through simulations and experiments,and the effectiveness of the algorithm is verified.

关键词

三维(3D)图像处理/自由立体显示/压缩光场(CLF)/分解算法/深度权重

Key words

three dimensions(3D)image processing/autostereoscopic displays/compressive light field(CLF)/decomposition algorithm/depth weight

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基金项目

浙江省自然科学基金联合基金(ZY23F050002)

浙江省自然科学基金联合基金(LTY22F020002)

浙江理工大学科研业务费专项(22062309-Y)

浙江省植物次生代谢调控重点实验室开放基金(ZJZWCSDXTK202201)

出版年

2024
光电子·激光
天津理工大学 中国光学学会

光电子·激光

CSCD北大核心
影响因子:1.437
ISSN:1005-0086
参考文献量22
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