• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

用于仅相位球面全息图散斑抑制的球面自衍射

Spherical self-diffraction for speckle suppression of a spherical phase-only hologram.

作者信息

Li Bingyi, Wang Jun, Chen Chun, Li Yuejia, Yang Ruoxue, Chen Ni

出版信息

Opt Express. 2020 Oct 12;28(21):31373-31385. doi: 10.1364/OE.401679.

DOI:10.1364/OE.401679
PMID:33115111
Abstract

The spherical computer-generated hologram is inevitably suffered from the speckle noise since it is necessary to add random phase to the object to ensure the scattering characteristic of reconstructed image. The speckle noise seriously degrades the quality of reconstructed image especially for a spherical phase-only hologram (SPOH). In this paper, spherical self-diffraction iteration (SSDI) algorithm is proposed to suppress the speckle noise in the SPOH. The algorithm is based on spherical self-diffraction (SSD) model which is a special case of spherical back-propagation (SBP) model at limit condition. The correctness of SBP and SSD as well as the effectiveness of SSDI algorithm are verified by numerical simulations. Meaningfully, the proposed method significantly outperforms the conventional methods in speckle suppression performance and computing speed. As far as we known, models of SBP and SSD as well as conception of SSDI are firstly proposed and applied for speckle suppression of SPOH.

摘要

由于需要向物体添加随机相位以确保重建图像的散射特性,因此计算机生成的球面全息图不可避免地会受到散斑噪声的影响。散斑噪声严重降低了重建图像的质量,尤其是对于纯球面相位全息图(SPOH)而言。本文提出了球面自衍射迭代(SSDI)算法来抑制SPOH中的散斑噪声。该算法基于球面自衍射(SSD)模型,该模型是球面反向传播(SBP)模型在极限条件下的特殊情况。通过数值模拟验证了SBP和SSD的正确性以及SSDI算法的有效性。有意义的是,所提出的方法在散斑抑制性能和计算速度方面明显优于传统方法。据我们所知,SBP和SSD模型以及SSDI的概念是首次提出并应用于SPOH的散斑抑制。

相似文献

1
Spherical self-diffraction for speckle suppression of a spherical phase-only hologram.用于仅相位球面全息图散斑抑制的球面自衍射
Opt Express. 2020 Oct 12;28(21):31373-31385. doi: 10.1364/OE.401679.
2
Reconstructed quality improvement with a stochastic gradient descent optimization algorithm for a spherical hologram.基于随机梯度下降优化算法的球面全息图重建质量改进
Appl Opt. 2022 Jun 10;61(17):5341-5349. doi: 10.1364/AO.462161.
3
Dual-task convolutional neural network based on the combination of the U-Net and a diffraction propagation model for phase hologram design with suppressed speckle noise.基于U-Net和衍射传播模型相结合的双任务卷积神经网络,用于具有抑制散斑噪声的相位全息图设计。
Opt Express. 2022 Jan 17;30(2):2646-2658. doi: 10.1364/OE.440956.
4
Full image reconstruction with reduced speckle noise, from a partially illuminated Fresnel hologram, using a structured random phase.
Appl Opt. 2019 Mar 10;58(8):1917-1923. doi: 10.1364/AO.58.001917.
5
Speckle-suppressed phase-only holographic three-dimensional display based on double-constraint Gerchberg-Saxton algorithm.基于双约束格尔奇贝格-萨克斯顿算法的散斑抑制纯相位全息三维显示
Appl Opt. 2015 Aug 10;54(23):6994-7001. doi: 10.1364/AO.54.006994.
6
Non-iterative phase-only Fourier hologram generation with high image quality.具有高图像质量的非迭代纯相位傅里叶全息图生成
Opt Express. 2017 Jun 26;25(13):14323-14333. doi: 10.1364/OE.25.014323.
7
Speckle-suppression in hologram calculation using ray-sampling plane.使用光线采样平面进行全息图计算时的散斑抑制
Opt Express. 2014 Jul 14;22(14):17193-206. doi: 10.1364/OE.22.017193.
8
Method of color holographic display with speckle noise suppression.
Opt Express. 2022 Jul 4;30(14):25647-25660. doi: 10.1364/OE.461294.
9
Speckle reduction by combination of digital filter and optical suppression in a modified Gerchberg-Saxton algorithm computer-generated hologram.在改进的格尔奇贝格-萨克斯顿算法计算机生成全息图中,通过数字滤波器和光学抑制相结合来减少散斑。
Appl Opt. 2014 Sep 20;53(27):G163-8. doi: 10.1364/AO.53.00G163.
10
Generation of phase-only Fresnel hologram based on down-sampling.基于下采样的纯相位菲涅耳全息图生成
Opt Express. 2014 Oct 20;22(21):25208-14. doi: 10.1364/OE.22.025208.

引用本文的文献

1
Fast Speckle Noise Suppression Algorithm in Breast Ultrasound Image Using Three-Dimensional Deep Learning.基于三维深度学习的乳腺超声图像快速散斑噪声抑制算法
Front Physiol. 2022 Apr 13;13:880966. doi: 10.3389/fphys.2022.880966. eCollection 2022.