• 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

基于图的光场编码的新型投影方案

Novel Projection Schemes for Graph-Based Light Field Coding.

作者信息

Bach Nguyen Gia, Tran Chanh Minh, Duc Tho Nguyen, Tan Phan Xuan, Kamioka Eiji

机构信息

Graduate School of Engineering and Science, Shibaura Institute of Technology, Tokyo 135-8548, Japan.

Department of Information and Communications Engineering, Shibaura Institute of Technology, Tokyo 135-8548, Japan.

出版信息

Sensors (Basel). 2022 Jun 30;22(13):4948. doi: 10.3390/s22134948.

DOI:10.3390/s22134948
PMID:35808447
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9269820/
Abstract

In light field compression, graph-based coding is powerful to exploit signal redundancy along irregular shapes and obtains good energy compaction. However, apart from high time complexity to process high dimensional graphs, their graph construction method is highly sensitive to the accuracy of disparity information between viewpoints. In real-world light field or synthetic light field generated by computer software, the use of disparity information for super-rays projection might suffer from inaccuracy due to vignetting effect and large disparity between views in the two types of light fields, respectively. This paper introduces two novel projection schemes resulting in less error in disparity information, in which one projection scheme can also significantly reduce computation time for both encoder and decoder. Experimental results show projection quality of super-pixels across views can be considerably enhanced using the proposals, along with rate-distortion performance when compared against original projection scheme and HEVC-based or JPEG Pleno-based coding approaches.

摘要

在光场压缩中,基于图的编码在利用沿不规则形状的信号冗余方面很强大,并且能实现良好的能量压缩。然而,除了处理高维图的时间复杂度高之外,它们的图构建方法对视点之间视差信息的准确性高度敏感。在现实世界的光场或由计算机软件生成的合成光场中,由于渐晕效应以及两种光场中视图之间的视差较大,分别使用视差信息进行超光线投影可能会出现不准确的情况。本文介绍了两种新颖的投影方案,其视差信息误差更小,其中一种投影方案还能显著减少编码器和解码器的计算时间。实验结果表明,使用这些方案可以显著提高跨视图超像素的投影质量,以及与原始投影方案和基于高效视频编码(HEVC)或基于联合图像专家组全光(JPEG Pleno)的编码方法相比的率失真性能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c81/9269820/63e6da45dcba/sensors-22-04948-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c81/9269820/f00e907ffdd8/sensors-22-04948-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c81/9269820/d61e2823f950/sensors-22-04948-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c81/9269820/0eb595fd239c/sensors-22-04948-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c81/9269820/95c0c372d177/sensors-22-04948-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c81/9269820/63e6da45dcba/sensors-22-04948-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c81/9269820/f00e907ffdd8/sensors-22-04948-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c81/9269820/d61e2823f950/sensors-22-04948-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c81/9269820/0eb595fd239c/sensors-22-04948-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c81/9269820/95c0c372d177/sensors-22-04948-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c81/9269820/63e6da45dcba/sensors-22-04948-g008.jpg

相似文献

1
Novel Projection Schemes for Graph-Based Light Field Coding.基于图的光场编码的新型投影方案
Sensors (Basel). 2022 Jun 30;22(13):4948. doi: 10.3390/s22134948.
2
Rate-Distortion Optimized Graph Coarsening and Partitioning for Light Field Coding.
IEEE Trans Image Process. 2021;30:5518-5532. doi: 10.1109/TIP.2021.3085203. Epub 2021 Jun 11.
3
Geometry-Aware Graph Transforms for Light Field Compact Representation.用于光场紧凑表示的几何感知图变换
IEEE Trans Image Process. 2019 Jul 29. doi: 10.1109/TIP.2019.2928873.
4
Local low rank approximation with a parametric disparity model for light field compression.
IEEE Trans Image Process. 2020 Oct 14;PP. doi: 10.1109/TIP.2020.3029655.
5
Light field compression using disparity-compensated lifting and shape adaptation.使用视差补偿提升和形状适配的光场压缩
IEEE Trans Image Process. 2006 Apr;15(4):793-806. doi: 10.1109/tip.2005.863954.
6
A Flexible Coding Scheme Based on Block Krylov Subspace Approximation for Light Field Displays with Stacked Multiplicative Layers.一种基于块克里洛夫子空间近似的灵活编码方案,用于具有堆叠乘法层的光场显示
Sensors (Basel). 2021 Jul 4;21(13):4574. doi: 10.3390/s21134574.
7
An Energy-Efficient Compressive Image Coding for Green Internet of Things (IoT).一种用于绿色物联网(IoT)的节能压缩图像编码。
Sensors (Basel). 2018 Apr 17;18(4):1231. doi: 10.3390/s18041231.
8
Pre-Demosaic Graph-Based Light Field Image Compression.基于预去马赛克图的光场图像压缩
IEEE Trans Image Process. 2022;31:1816-1829. doi: 10.1109/TIP.2022.3145242. Epub 2022 Feb 11.
9
Shearlet Transform based Light Field Compression Under Low Bitrates.低比特率下基于剪切波变换的光场压缩
IEEE Trans Image Process. 2020 Jan 29. doi: 10.1109/TIP.2020.2969087.
10
Highly Efficient Multiview Depth Coding Based on Histogram Projection and Allowable Depth Distortion.基于直方图投影和允许深度失真的高效多视图深度编码
IEEE Trans Image Process. 2021;30:402-417. doi: 10.1109/TIP.2020.3036760. Epub 2020 Nov 23.

本文引用的文献

1
Light Field Reconstruction Using Residual Networks on Raw Images.基于原始图像的残差网络的光场重建。
Sensors (Basel). 2022 Mar 2;22(5):1956. doi: 10.3390/s22051956.
2
Rate-Distortion Optimized Graph Coarsening and Partitioning for Light Field Coding.
IEEE Trans Image Process. 2021;30:5518-5532. doi: 10.1109/TIP.2021.3085203. Epub 2021 Jun 11.
3
Depth Estimation for Light-Field Images Using Stereo Matching and Convolutional Neural Networks.基于立体匹配和卷积神经网络的光场图像深度估计
Sensors (Basel). 2020 Oct 30;20(21):6188. doi: 10.3390/s20216188.
4
Prediction and Sampling with Local Graph Transforms for Quasi-Lossless Light Field Compression.
IEEE Trans Image Process. 2019 Dec 17. doi: 10.1109/TIP.2019.2959215.
5
Geometry-Aware Graph Transforms for Light Field Compact Representation.用于光场紧凑表示的几何感知图变换
IEEE Trans Image Process. 2019 Jul 29. doi: 10.1109/TIP.2019.2928873.
6
Utilizing Light-field Imaging Technology in Neurosurgery.在神经外科手术中应用光场成像技术。
Cureus. 2018 Apr 10;10(4):e2459. doi: 10.7759/cureus.2459.
7
Presentation attack detection for face recognition using light field camera.基于光场相机的人脸识别中的活体检测。
IEEE Trans Image Process. 2015 Mar;24(3):1060-75. doi: 10.1109/TIP.2015.2395951.
8
Integral three-dimensional television with video system using pixel-offset method.采用像素偏移法的带视频系统的一体式三维电视。
Opt Express. 2013 Feb 11;21(3):3474-85. doi: 10.1364/OE.21.003474.
9
SLIC superpixels compared to state-of-the-art superpixel methods.SLIC 超像素与最先进的超像素方法比较。
IEEE Trans Pattern Anal Mach Intell. 2012 Nov;34(11):2274-82. doi: 10.1109/TPAMI.2012.120.
10
Hierarchical prediction structure for subimage coding and multithreaded parallel implementation in integral imaging.
Appl Opt. 2011 Apr 20;50(12):1707-16. doi: 10.1364/AO.50.001707.