Dense Light Field Coding: A Survey

被引:52
作者
Conti, Caroline [1 ]
Soares, Luis Ducla [1 ]
Nunes, Paulo [1 ]
机构
[1] Inst Univ Lisboa ISCTE IUL, Inst Telecomunicacoes, P-1649026 Lisbon, Portugal
关键词
Image coding; Encoding; Transform coding; Standardization; Focusing; Camera array; image compression; light field; plenoptic; video compression; KARHUNEN-LOEVE TRANSFORM; QUALITY ASSESSMENT; IMAGE COMPRESSION; DEPTH ESTIMATION; INTEGRAL IMAGES; EFFICIENT COMPRESSION; ENHANCED COMPRESSION; RESIDUAL IMAGES; SUB-IMAGES; MOTION;
D O I
10.1109/ACCESS.2020.2977767
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Light Field (LF) imaging is a promising solution for providing more immersive and closer to reality multimedia experiences to end-users with unprecedented creative freedom and flexibility for applications in different areas, such as virtual and augmented reality. Due to the recent technological advances in optics, sensor manufacturing and available transmission bandwidth, as well as the investment of many tech giants in this area, it is expected that soon many LF transmission systems will be available to both consumers and professionals. Recognizing this, novel standardization initiatives have recently emerged in both the Joint Photographic Experts Group (JPEG) and the Moving Picture Experts Group (MPEG), triggering the discussion on the deployment of LF coding solutions to efficiently handle the massive amount of data involved in such systems. Since then, the topic of LF content coding has become a booming research area, attracting the attention of many researchers worldwide. In this context, this paper provides a comprehensive survey of the most relevant LF coding solutions proposed in the literature, focusing on angularly dense LFs. Special attention is placed on a thorough description of the different LF coding methods and on the main concepts related to this relevant area. Moreover, comprehensive insights are presented into open research challenges and future research directions for LF coding.
引用
收藏
页码:49244 / 49284
页数:41
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