Image and video compression of fluid flow data

IF 2.2 3区 工程技术 Q2 MECHANICS Theoretical and Computational Fluid Dynamics Pub Date : 2023-02-16 DOI:10.1007/s00162-023-00643-4
Vishal Anatharaman, Jason Feldkamp, Kai Fukami, Kunihiko Taira
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引用次数: 2

Abstract

We study the compression of spatial and temporal features in fluid flow data using multimedia compression techniques. The efficacy of spatial compression techniques, including JPEG and JPEG2000 (JP2), and spatiotemporal video compression techniques, namely H.264, H.265, and AV1, in limiting the introduction of compression artifacts and preserving underlying flow physics are considered for laminar periodic wake around a cylinder, two-dimensional turbulence, and turbulent channel flow. These compression techniques significantly compress flow data while maintaining dominant flow features with negligible error. AV1 and H.265 compressions present the best performance across a variety of canonical flow regimes and outperform traditional techniques such as proper orthogonal decomposition in some cases. These image and video compression algorithms are flexible, scalable, and generalizable holding potential for a wide range of applications in fluid dynamics in the context of data storage and transfer.

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流体流动数据的图像和视频压缩
利用多媒体压缩技术研究流体流动数据的时空特征压缩。考虑了空间压缩技术(包括JPEG和JPEG2000 (JP2))和时空视频压缩技术(即H.264、H.265和AV1)在限制压缩伪影的引入和保留底层流动物理特性方面的有效性,包括围绕圆柱体的层流周期性尾迹、二维湍流和湍流通道流动。这些压缩技术显著地压缩了流量数据,同时保持了主要的流量特征,误差可以忽略不计。AV1和H.265压缩在各种规范流态中表现出最佳性能,在某些情况下优于传统技术,如适当的正交分解。这些图像和视频压缩算法具有灵活性、可扩展性和通用性,在数据存储和传输的流体动力学背景下具有广泛的应用潜力。
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来源期刊
CiteScore
5.80
自引率
2.90%
发文量
38
审稿时长
>12 weeks
期刊介绍: Theoretical and Computational Fluid Dynamics provides a forum for the cross fertilization of ideas, tools and techniques across all disciplines in which fluid flow plays a role. The focus is on aspects of fluid dynamics where theory and computation are used to provide insights and data upon which solid physical understanding is revealed. We seek research papers, invited review articles, brief communications, letters and comments addressing flow phenomena of relevance to aeronautical, geophysical, environmental, material, mechanical and life sciences. Papers of a purely algorithmic, experimental or engineering application nature, and papers without significant new physical insights, are outside the scope of this journal. For computational work, authors are responsible for ensuring that any artifacts of discretization and/or implementation are sufficiently controlled such that the numerical results unambiguously support the conclusions drawn. Where appropriate, and to the extent possible, such papers should either include or reference supporting documentation in the form of verification and validation studies.
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