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RETRACTED: Comparative analysis of compression algorithms for four-dimensional light fields

https://doi.org/10.32362/2500-316X-2022-10-4-7-17

Abstract

RETRACTED ARTICLE

Objectives. The widespread use of systems for capturing light fields is due to the high quality of the reproduced image. This type of capture, although qualitatively superior to traditional methods to capturing volumetric images, generates a huge amount of data needed to reconstruct the original captured 4D light field. The purpose of the work is to consider traditional and extended to four-dimensional image compression algorithms, to perform a comparative analysis and determine the most suitable.

Methods. Mathematical methods of signal processing and methods of statistical analysis are used.

Results. Algorithms are compared and analyzed in relation to the compression of four-dimensional light fields using the PSNR metric. The selected evaluation criterion is affected not only by the dimension of the compression algorithm, but also by the distance of the baseline of the capture setting, since the difference between images increases with the distance between the optical centers of each camera matrix. Thus, for installations consisting of an array of machine vision cameras located on racks and placed in a room, the obvious choice would be to use conventional image compression methods. Furthermore, based on the assessment of the arbitrariness of video compression methods, it should be noted that the XVC algorithm remains undervalued, although its results are higher. Algorithm AV1 can be considered the next in order of importance. It has been established that the latest compression algorithms show higher performance if compared to their predecessors. It has also been shown that with a small distance between the optical centers of the captured images, the use of video compression algorithms is preferable to the use of image compression algorithms, since they show better results in both three-dimensional and four-dimensional versions.

Conclusions. A comparison of the results obtained shows the need to use algorithms from the video compression family (XVC, AV1) on installations with a long baseline (mounted on camera stands). When working with integrated light field cameras (Lytro) and setting the capture with a short baseline, it is recommended to use image compression algorithms (JPEG). In general, video compression algorithms are recommended, in particular XVC, since on average it shows an acceptable level of PSNR in both the case of a short and long installation baseline.

About the Authors

R. G. Bolbakov
MIREA - Russian Technological University
Russian Federation

Roman G. Bolbakov - Cand. Sci. (Eng.), Associate Professor, Head of the Department of Instrumental and Applied Software, Institute of Information Technologies, MIREA - Russian Technological University.

78, Vernadskogo pr., Moscow, 119454.

Scopus Author ID 57202836952

RSCI SPIN-code 4210-2560


Competing Interests:

None



V. A. Mordvinov
MIREA - Russian Technological University
Russian Federation

Vladimir A. Mordvinov - Cand. Sci. (Eng.), Professor, Department of Instrumental and Applied Software, Institute of Information Technologies, MIREA - Russian Technological University.

78, Vernadskogo pr., Moscow, 119454.

RSCI SPIN-code 9390-1540


Competing Interests:

None



A. D. Makarevich
MIREA - Russian Technological University
Russian Federation

Artem D. Makarevich - Postgraduate Student, Department of Instrumental and Applied Software, Institute of Information Technologies, MIREA - Russian Technological University.

78, Vernadskogo pr., Moscow, 119454.


Competing Interests:

None



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Supplementary files

1. Capturing a 4D light field with a camera array
Subject
Type Исследовательские инструменты
View (84KB)    
Indexing metadata ▾
  • The article is devoted to the comparative analysis of compression methods of light fields in the tasks of capturing three-dimensional images
  • The analysis results allow the effectiveness of the main image and video compression algorithms applied to light fields to be evaluated
  • Mathematical methods were used to estimate the peak signal-to-noise ratio in the studied set
  • The most suitable algorithms were given for the data sets recorded on light field cameras with long and short baselines

Review

For citations:


Bolbakov R.G., Mordvinov V.A., Makarevich A.D. RETRACTED: Comparative analysis of compression algorithms for four-dimensional light fields. Russian Technological Journal. 2022;10(4):7-17. https://doi.org/10.32362/2500-316X-2022-10-4-7-17

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ISSN 2782-3210 (Print)
ISSN 2500-316X (Online)