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MPEG和JPEG Pleno点云压缩中比特率分配策略的主观性能评估

Subjective performance evaluation of bitrate allocation strategies for MPEG and JPEG Pleno point cloud compression.

作者信息

Lazzarotto Davi, Testolina Michela, Ebrahimi Touradj

机构信息

Multimedia Signal Processing Group (MMSPG), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.

出版信息

EURASIP J Image Video Process. 2024;2024(1):14. doi: 10.1186/s13640-024-00629-0. Epub 2024 Jun 11.

Abstract

The recent rise in interest in point clouds as an imaging modality has motivated standardization groups such as JPEG and MPEG to launch activities aiming at developing compression standards for point clouds. Lossy compression usually introduces visual artifacts that negatively impact the perceived quality of media, which can only be reliably measured through subjective visual quality assessment experiments. While MPEG standards have been subjectively evaluated in previous studies on multiple occasions, no work has yet assessed the performance of the recent JPEG Pleno standard in comparison to them. In this study, a comprehensive performance evaluation of JPEG and MPEG standards for point cloud compression is conducted. The impact of different configuration parameters on the performance of the codecs is first analyzed with the help of objective quality metrics. The results from this analysis are used to define three rate allocation strategies for each codec, which are employed to compress a set of point clouds at four target rates. The set of distorted point clouds is then subjectively evaluated following two subjective quality assessment protocols. Finally, the obtained results are used to compare the performance of these compression standards and draw insights about best coding practices.

摘要

最近,作为一种成像模态,点云受到的关注日益增加,这促使诸如JPEG和MPEG等标准化组织开展活动,旨在开发点云压缩标准。有损压缩通常会引入视觉伪像,对媒体的感知质量产生负面影响,而这只能通过主观视觉质量评估实验来可靠地测量。虽然MPEG标准在以往的多项研究中已经进行了主观评估,但尚未有研究将最新的JPEG Pleno标准与之相比来评估其性能。在本研究中,对点云压缩的JPEG和MPEG标准进行了全面的性能评估。首先借助客观质量指标分析不同配置参数对编解码器性能的影响。该分析结果用于为每个编解码器定义三种码率分配策略,这些策略用于以四个目标码率压缩一组点云。然后,按照两种主观质量评估协议对失真点云集进行主观评估。最后,利用所得结果比较这些压缩标准的性能,并得出关于最佳编码实践的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e26/11166754/89f7d68879c1/13640_2024_629_Fig1_HTML.jpg

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